Methods and apparatuses for delivery of advice to mobile/wireless devices

Information

  • Patent Grant
  • 8856014
  • Patent Number
    8,856,014
  • Date Filed
    Thursday, August 22, 2013
    11 years ago
  • Date Issued
    Tuesday, October 7, 2014
    10 years ago
Abstract
Methods and apparatuses to connect consumers to diverse advice sources of experts. In one embodiment, a method includes: providing a list of experts to a mobile device via a wireless media channel for presentation to a consumer; responsive to receiving from the mobile device a selection of one expert from the list of experts, initiating a telephonic connection between the expert and the consumer prior to the consumer submitting a question for advice. In one example, the list includes information to indicate whether one or more of the experts are individually available to telephonically communicate with the consumer at a time when the list is provided to the consumer. In one example, initiating the telephonic connection includes: initiating a first call to the consumer; initiating a second call to the expert; and joining the first and second calls to make the telephonic connection between the expert and the consumer.
Description
FIELD OF THE TECHNOLOGY

At least some embodiments of the present invention relate to techniques for delivering information electronically, more particularly, for delivering advice to consumers from a diverse set of experts, matching consumer questions with experts, displaying available experts for consumer viewing and selection, providing for compensation from consumers to experts, and providing for the connection between consumer and experts, etc.


BACKGROUND

As more technology (e.g., video recorders, personal computers, Internet, TV web boxes, cell phones, etc.) enters peoples' lives, there is greater and greater demand for help in choosing devices and solutions and in setting them up and correcting problems. Even more generally, there is greater need for assistance in daily life, whether it is for medical, legal, family, or entertainment reasons.


At the same time that more information is required to conduct our lives, available effective sources of that information have not grown sufficiency in number or efficiency.


Companies selling products often have web pages or telephone support lines, but these are either too restricted in information, or the consumer must wait for long periods for live help.


To help with the routing of calls to available agents in a company, Cave (WO9813765) has devised a real-time system wherein a queuing manager routes calls to an agent who is free at the time. The system still involves automated answering systems which many consumers find frustrating, and it requires the hiring of not only agents but the queuing manager.


In the future, streaming audio and video capabilities on the web will make it possible for company agents to speak directly to consumers. However, this will be very costly to operate and the consumer will probably have to wait for long times to speak to one of the agents.


For general advice, the Internet is far too inefficient for many uses. Search engines return many hits, requiring the consumer to try many web sites and hope that the answer is available.


1-900 phone numbers (pay-per-call) are limited in scope and consumers hesitate to use them due to high per-minute rates, lack of trust in the billing, and generally perceived notions that the 900 numbers are for less-than-serious concerns such as astrology or sex chat. In addition, 900 services are small and narrowly focused, without the benefits of the Diverse Advice Sources arrangement, and they did not include matching and/or display technologies.


As shown in FIG. 1a, the fundamental problem with current advice technologies is that there are a large number of consumers and few agents to help them at each company; this is known as Centralized Advice Sources, and has the general shape of a funnel with too many questions going to too few agents. This leads to high cost (to pay agents and purchase systems), slow response time (long hold times on telephone), and lack of personal service (live agents). In addition, the agents often can only answer a limited range of questions regarding the companies' products. Thus, the participation and control of the consumer advice function by each company is fundamentally hurting the company by frustrating consumers and by requiring it to staff, manage, and pay for a vast and complex undertaking which is outside of its main expertise (making widgets, providing a narrow service, etc.).


Previous solutions have not adequately filled the need, particularly for immediate advice or connection between appropriate people.


The American Information Exchange (AMIX) was a central exchange that attempted to mediate between buyers and sellers of information. But the complexity and lack of immediacy, among other problems, limited its ability to efficiently solve the buyer's problem.


Walker (U.S. Pat. No. 5,862,223) envisioned a similarly complex exchange, often involving several lengthy steps where a user request is submitted; a search of experts, even beyond its members, is undertaken; a portion of the user request (question) is transmitted to the computer-selected expert, etc. until the request if fulfilled. Walker (col. 8, line 49; col. 24, line 67) allows the user himself to select the expert from a general list, but there is no provision for seeing which expert is available at that instant to talk, and there is no provision to make the process of connecting the expert and user quickly, say within 1 min or 10 seconds. In addition the user must submit a portion of his question (end user request).


In the complex process described by Walker, the expert and user can communicate in real-time (col. 9, line 1; col. 26, line 49), but only after the process of submitting the end user request to the expert.


In another embodiment of Walker (col. 28, line 66), the end user calls the central controller and eventually is put in touch with an expert for a real-time connection. No allowance is made for the central controller to make two separate calls (thus connecting the expert and user) after the user selects the expert.


In addition, there are no constraints in Walker on how fast the time-to-connect process needs to be to be useful. Timely information is more highly valued than delayed information.


Moreover, the detailed lists of experts and their characteristics (resumes, etc.) that are displayed in Walker (col. 25, line 35) are not suitable for a system that fills the need for rapid selection and connection between parties; as the number of experts grows, there will be simply too many pages of text to scroll through. There is needed a new display system where users can rapidly survey the available experts via information-rich graphics.


Walker does not take into account the use of experts as a workforce for customer support. No mention is made of product or service companies issuing certification for experts, and, in turn, those certifications listed or displayed explicitly by the central controller/server.


Telephone systems allow users to conduct real time two-way voice communication. Traditional land-line based telephone systems connect one telephone set to another through one or more switching centers, operated by one or more telephone companies, over a land-line based telephone network. Traditionally, a telephone connection is based on a circuit switched network.


Current telephone systems may also use a package switched network for a telephone connection. A package switched network is typical in a computer data environment. Recent developments in the field of Voice over IP (VoIP) allow the delivery of voice information using the Internet Protocol, in which voice information is packaged in a digital form in discrete packets rather than in the traditional circuit-committed protocols of the public switched telephone network (PSTN).


Cellular networks allow a cellular phone to connect to a nearby cellular base station through an air interface for wireless access to a telephone network. Recent developments in wireless telephone systems allow not only voice communications but also data communications. For example, cellular phones can now receive and send short messages through a Short Message Service (SMS). Web pages can now be retrieved through wireless cellular links and displayed on cellular phones. Wireless Application Protocol (WAP) has been developed to overcome the constraints of relatively slow and intermittent nature of wireless links to access information similar or identical to World Wide Web.


SUMMARY OF THE DESCRIPTION

Methods and apparatuses to connect consumers to diverse advice sources of experts are described here. In one embodiment, a method includes: providing a list of experts to a mobile device via a wireless media channel for presentation to a consumer; responsive to receiving from the mobile device a selection of one expert from the list of experts, initiating a telephonic connection between the expert and the consumer prior to the consumer submitting a question for advice. In one example, the list includes information to indicate whether one or more of the experts are individually available to telephonically communicate with the consumer at a time when the list is provided to the consumer. In one example, initiating the telephonic connection includes: initiating a first call to the consumer; initiating a second call to the expert; and joining the first and second calls to make the telephonic connection between the expert and the consumer.





BRIEF DESCRIPTION OF THE DRAWINGS


FIG. 1
a shows the most common arrangement today of the advice business, known as Centralized Advice Sources.



FIG. 1
b shows a fundamentally new advice technology structure, Diverse Advice Sources, according to one embodiment of the present invention.



FIG. 2 shows a diagram of a system to make and track phone connections according to one embodiment of the present invention.



FIG. 3 shows a diagram of a system to make and track phone connections from a mobile device according to one embodiment of the present invention.



FIGS. 4-5 show flow diagrams of making and tracking phone connections according to embodiments of the present invention.



FIG. 6 shows a block diagram example of a data processing system which may be used with the present invention.





DETAIL DESCRIPTION

In the following description, for purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of the description. It will be apparent, however, to one skilled in the art that the invention can be practiced without these specific details. In other instances, structures and devices are shown in block diagram form in order to avoid obscuring the description.


Reference in this specification to “one embodiment” or “an embodiment” means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment of the invention. The appearances of the phrase “in one embodiment” in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Moreover, various features are described which may be exhibited by some embodiments and not by others. Similarly, various requirements are described which may be requirements for some embodiments but not other embodiments.


In one embodiment, the term “advice” may refer to any needs of the consumer which can be provided for by an expert, including but not limited to conversation, entertainment, sounds or pictures of any kind, text, video, audio. This advice is not limited to that provided by agents regarding company products; it can include medical, legal, educational, travel, entertainment, religious, and other forms of advice. In addition, herein “advice” is meant broadly to include any type of information, comfort, or communication a consumer desires.


In one embodiment, the term “consumers” may refer to individuals, companies, organizations, governments, or devices which have one or more questions or needs for advice.


In one embodiment, the term “experts” may refer to individuals, companies, organizations, governments, or devices which are able to provide advice to consumers, provided that experts' initial means to contact consumers is via the server in the Advice Router. Experts' compensation, which may be zero, can come from either consumers directly or from the Advice Router. Collectively, experts represent a broader range of knowledge and experience than do agents which work for a single company. Much as the word “advice” is used broadly, “expert” is meant broadly since many types of information can be given by human beings.


In one embodiment, the term “agents” may refer to individuals, companies, organizations, governments, or devices who, as part of their relationship/employment at that institution, answers questions when connected to his institution's telephone or server, provided that the agent is paid by the institution for that function. The advice provided for by agents is generally restricted to that regarding products offered by their respective company.


In one embodiment, the term “server” may refer to any device, network or software which connects consumers and experts.


In one embodiment, the term “query” may refer to an action initiated by a consumer which includes keywords or other means to summarize their question or need for advice.


In one embodiment, the term “expert characteristics” may refer to information used for matching with consumers queries. Including, but not limited to one or more of the following: a code name which does not include his real name; keywords of expertise; number of years experience in each area of expertise; degrees earned; number of years of school after completion of high school or college; companies worked for or schools/training programs attended in the past or present; age; language; neighborhood, city, state, and/or country of residence; quality score as judged by previous consumer interactions; compensation rate for consumer advice; and whether the expert is available at the actual moment of consumers query or within 1, 2, 5, 10, 15, 30, 60 minutes.


In one embodiment, the term “matching” may refer to a process for scoring and putting in an order of relevance a list or selected list of experts who are likely to be able to answer a consumer's query. A matching process can involve any method of assignment of numbers to the number of keyword matches or matches between ranges of characteristics desired by the consumer with the actual expert characteristics.


In one embodiment, the term “logged in”, or “on-line”, may refer to detectable means of communication between server and expert, including but not limited to telephone, Internet telephony, email, audio, and/or video.


In one embodiment, the term “means to contact” may refer to any method, information, or technology used to bring together the consumer with one or more experts, including but not limited to telephone, Internet telephony, email, audio, and/or video. Means to contact includes telephone numbers (including toll-free and pay-per-call numbers), email addresses, Internet web pages or sites, video-conferencing details. More preferably, the means of contact includes telephone, Internet telephony, audio, and/or video, and even more preferably Internet telephony, audio and/or video, and even more preferably video. The technology to be used for any of the above includes TVs, TVs with set-top web browsers, PCs, telephones, and satellite connections.


In one embodiment, the term “time-to-connect” may refer to the period of time between the transmission of the means of contact and the actual connection between expert and consumer. In the case where the consumer selects an expert, the time-to-connect is the period of time beginning from the consumer's last action (e.g., clicking on the symbol for an expert or his telephone number) and ending when the actual connection is made. In the case where the server makes both connections, the time-to-connect is the period of time beginning when the server indicates to the consumer that it is beginning to contact the expert and ending when the actual connection is made.


In one embodiment of the present application, “advertisement” may refer to various different forms of presentations to attract attention or patronage. An advertisement may be simply a listing of identity and contact information (e.g., in a web page, a print media, a telephonic listing service, etc.), or a passage including one or more statements about business offering, etc., or a banner with graphical content and/or animation embedded in a web page, or a voice message presented in a voice channel (e.g., radio broadcasting, a voice portal with Interactive Voice Response (IVR), which may accept user input through voice recognition or through keypad input generated Dual Tone Multi-Frequency (DTMF) signals), or others.


Diverse Advice Sources


One embodiment of the invention includes a fundamentally new advice technology structure, Diverse Advice Sources, wherein the actual companies selling products are not involved or only peripherally involved. Diverse Advice Sources more evenly equalizes the number of questions in the world at a given point in time with the number of experts who are likely to be able to answer their questions. As shown in FIG. 1b, this technology is in an hourglass shape where a large number of experts is available rather than the small number of agents at each company. In the middle is a new form of information company, the Advice Router, which rapidly facilitates the matching of and connection between consumers and experts.


The sheer number of experts available in Diverse Advice Sources solves the arithmetic (funnel) problem of Centralized Advice Sources, leading to the two most important benefits: fast response and the routine availability of live experts. In addition the diversity of sources raises the likelihood that the consumer will get more holistic advice, not limited to the tools available from any one company.


In another embodiment, a method of (or apparatus for) facilitating the delivery of advice to consumers, includes: providing a server unit with the ability to store the names or identification of two or more experts, the experts coded by one or more expert characteristics, the server having the ability to detect which experts are online; the server having the ability to display at least one of the expert characteristics with information-rich graphics or symbols; the server having the ability to respond to a consumer's selection of expert by either sending the consumer a means to contact expert or by connecting the consumer and expert for real-time communication; wherein the time-to-connect between consumer and expert is 30 minutes or less.


In another embodiment, a method of (or apparatus for) facilitating the delivery of advice to consumers, includes: providing a server unit with the ability to store the names or identification of two or more experts, the experts coded by one or more expert characteristics, the server having the ability to detect which experts are online; the server unit having the ability to receive one or more keywords from a consumer; the server unit having the ability to match those keywords to one or more experts and send the consumer a means to contact; where the time-to-connect between consumer and expert is 30 minutes or less.


Further aspects and examples of various embodiments of the present invention are illustrated and described below.


Certification


In the transition from central to diverse advice sources, companies will find that it is economical to broaden its customer support workforce to non-employees. While these non-employees may not have as detailed or as frequent training, they can answer many of the questions consumers have. Thus a company can offer simple tests and, optionally, transmit the results of those tests to the server, which maintains an up-to-date status of each expert. Alternatively, the company can simply give the certification to the expert who transmits the results to the server.


Certification tests can take many forms, including but not limited to web-based questionnaires, phone, Internet, or face-to-face interviews, live video connections, etc. Optionally, a company can use authentication procedures (e.g., fingerprint, voiceprint, “cookies” on the expert's computer, passwords, etc.) to ensure the expert's identity. Optionally, the test and results can be cryptographically transmitted between the company and expert; or between the company and server.


Certification can also come from organizations or schools or governments.


Matching


One embodiment provides for a matching system or relevance scoring method which finds the best expert to answer a consumer's question. This can involve any method of assignment of numbers to the number of keyword matches or matches between ranges of characteristics desired by the consumer with the actual expert characteristics. This technology is known for search engines for finding matches between a consumer's keywords and web pages as well as those for finding matches for merchandise. However, a system and method does not currently exist that allows one to match a wide array of features, including, but not limited to, two or more of the following expert characteristics: a code name which does not include his real name; keywords of expertise; number of years experience in each area of expertise; degrees earned; number of years of school after completion of high school or college; companies worked for or schools/training programs attended in the past or present; age; language; neighborhood, city, state, and/or country of residence; quality score as judged by previous consumer interactions; compensation rate for consumer advice; and whether the expert is available at the actual moment of consumers query or within 1, 2, 5, 10, 15, 30, 60 minutes.


It is preferred that the number of categories in the list of expert characteristics used for matching be at least four, such as code name, keywords, compensation rate, and time availability. More preferably, the number of categories should be at least six. Even more preferably, the number of categories should be at least eight. Most preferred, the number of categories should be at least ten.


Another embodiment provides for a system for and method of displaying selected experts to the consumer. This includes, at a minimum, conveying, through means that include but are not limited to telephone, Internet telephony, email, audio, and/or video, a way for the consumer to contact the expert (the means of contact). It is more preferred for that conveyance to be performed by Internet telephony, email, audio, and/or video. It is most preferred for that conveyance to be performed by audio, and/or video.


The number of experts presented to the consumer can be at least one. It is more preferred that the number of experts presented to the consumer is at least two. It is even more preferred that the number of experts presented to the consumer is at least five. It is even more preferred that the number of experts presented to the consumer is at least ten. It is even more preferred that the number of experts presented to the consumer is at least 20. It is most preferred that the number of experts presented to the consumer is over 100.


One embodiment provides for a system for and method of protecting the privacy and identity of both the expert and the consumer. If the expert prefers, his actual name, address and other information will be withheld from the consumer. Also, individual entries in the expert characteristics list can be shielded from view by the consumer. The consumer likewise can be protected. While privacy has been provided for in commercial/advertising technologies (see Goldhaber, U.S. Pat. No. 5,855,008), the shielding but still utilizing detailed expert characteristic lists has not been provided for.


Display


In addition to the mere conveyance of the means of contact, it is more preferred for the consumer to be presented with a visual display of available experts. Systems and methods have been used for displaying game-playing individuals, with information related to availability for a game now, skill level, and code name. No such system or method exists for displaying expert characteristics.


Display methods include but are not limited to information-rich graphics such as objects with varying color or density, bar graphs, line graphs, 3-D graphs, icons, pictures, photographs, video. All of the above can include animation or motion to attract attention. Words and numbers can be added on or near any of the above to give further expert characteristics. Any of the above can be addressable by mouse/cursor location so that the consumer can easily select which expert to choose or which set of experts to zoom in on and view more closely. Optionally, zoom (magnification) and/or rotation functions can also be used. The zoom function can allow new and more detailed expert characteristics to appear with each increase in magnification. Similarly rotations of objects can reveal more detailed expert characteristics.


Useful expert characteristics that can be displayed visually include, but are not limited to: the expert's quality (rating) score, whether the expert is online now, or how long until he will be; whether the expert has a separate phone line, and whether it is busy or not.


A legend can optionally be provided when abstract symbols or colors are used so that consumers can tell what each symbol or color means.


In another embodiment, experts can select their own symbol, pictures, logos, etc. to advertise themselves. These include all of the above options. Optionally, they can use online avatars to represent themselves, with the additional option of the voice and facial expression of the expert transmitted to the consumer via this avatar.


In another embodiment, a special symbol/notation is displayed next to or as part of an experts symbol if he has been certified by selected companies or organizations. The symbol/notation can optionally expire, disappear, or change its characteristics (color, etc.) after a certain length of time so that the expert is forced to take tests to maintain certification.


In another embodiment, the display is a map either of geography, system or building architecture or any type of display where experts are, at that time, located or qualified in. The map and expert symbols on it are continually updated to see who is online and/or their exact or general location. The size of the symbol used for each expert is adjusted as the number of experts online increases so each can be displayed. Optionally the zoom function allows better viewing of crowded regions of the map.


This display method can be useful in cases where a consumer only wants information from someone at a particular location, e.g., to determine weather, sport conditions (ski, surf, etc), traffic, delivery/pickup truck availability, nature (animal sightings), entertainment (club-hopping), state or city laws, or any kind of location-dependent information.


Other types of non-geographical maps or diagrams can also be used, including but not limited to software architecture, flow charts, graphs, etc. Here the location of the expert's symbol is determined by their expertise in a particular subject within that map.


In some cases, if the expert is qualified in more than one area, two or more of his symbols may appear in a given map or diagram.


Graphical displays (line or scatter plots, etc) can be used by the consumer to weigh different features of the experts before making a selection. The consumer can be given a choice of 2- or 3-dimensional, and what the axis of the graph represents: quality score, compensation rate, distance from the consumer, etc. The symbols for the available experts in a particular subject area are placed in their appropriate position of the graph and the consumer can see, for example a scattergram and pick a well-rated expert who is not too expensive.


It is more preferred that the display method graphically show at least the following two items: relevance score or order of preference of experts on the one hand, and the time availability of the expert on the other. The latter refers to whether the expert is available at the actual moment of consumers query or within 1, 2, 5, 10, 15, 30, 60 minutes. It is even more preferred that the display method graphically show at least the following three items: relevance score or order of preference of expert, the time availability of the expert, and the compensation rate for consumer advice with that expert. It is even more preferred that the display method graphically show at least the following four items: relevance score or order of preference of expert, the time availability of the expert, the compensation rate for consumer advice with that expert and the quality score as judged by previous consumer interactions. It is most preferred that the display method graphically show at least the following five items: relevance score or order of preference of expert, the time availability of the expert, the compensation rate for consumer advice with that expert, the quality score as judged by previous consumer interactions, and one item selected from the following list: number of years experience in each area of expertise; degrees earned; number of years of school after completion of high school or college; companies worked for or schools/training programs attended in the past or present; age; language; neighborhood, city, state, and/or country of residence.


Compensation


Diverse Advice Sources fundamentally changes the economics of the consumer advice business. Diverse Advice Sources replaces the awkward arrangement in Centralized Advice Sources wherein individual companies are expected to pay for consumer advice (by paying their hired agents) when it is the consumer who is benefiting from the advice. Of course consumers had in the past expected companies to pay for this advice, to encourage the consumer to use their product and not products from competing companies. The companies respond by establishing limited consumer advice groups which are highly inefficient and costly to the company. In Diverse Advice Sources, the consumer pays for the advice information packet directly, to either or both of the expert and the Advice Router.


One embodiment includes an alternative case where the consumer does not directly pay either the expert or the Advice Router. In this special case, general advertisements are used to fund the Advice Router, and the Advice Router either compensates the expert for his time, or the expert receives no direct compensation and instead gains some other value (e.g., advertising).


Unique payment systems and methods used by the Advice Router include but are not limited to the following:


a) credit card or (cyber-money) accounts for one or both of the consumer and expert; proper deductions and credits are made to each account after each transaction.


b) the means of contact can include a 900 number (or similar per-per-call/pay-per-view technology for the Internet); in this case, the consumer simply dials the 900 number given by and controlled or contracted for by the Advice Router, and the expert is paid according to well-known 900 number technology. This 900 number technology has been used in the past to provide advice from individual groups, but these activities did not include matching and/or display technologies, nor did they have the benefits of the Diverse Advice Sources arrangement.


c) other phone or media accounts.


Various payment schemes can be optimized to meet consumer and expert expectations. For example, rather that a flat per-hour, per-minute, or per-session rate, a number of schemes can be used to compensate for the consumer ensuring that the expert is adequate (for example, the first two minutes free), etc.


In all of these cases, the Advice Router can receive a fee for conveying the means of contact, and/or the connection.


Also, the Advice Router can pay or rebate a portion of the consumer charge if the consumer take some additional action, such as rating the quality of the expert, etc.


Connection


One embodiment provides for a system and method whereby the server used by the Advice Router can be used for providing for or aiding rapid connections and monitoring of interactions between consumers and experts.


Regarding the connection, it is preferred that the server provide for or facilitate a connection within 30 minutes after the means of contact has been conveyed to the consumer. It is more preferred that the time-to-connect is 10 minutes or less. It is even more preferred that the time-to-connect is 5 minutes or less. It is even more preferred that the time-to-connect is 2 minutes or less. It is even more preferred that the time-to-connect is 1 minute or less. It is even more preferred that the time-to-connect is 30 seconds or less. It is even more preferred that the time-to-connect is 20 seconds or less. It is most preferred that the time-to-connect is 10 seconds or less.


The connection can include any method or technology used to bring together the consumer with one or more experts, including but not limited to telephone, Internet telephony, email, audio, and/or video. More preferably, the connection involves telephone, Internet telephony, audio, and/or video, and even more preferably Internet telephony, audio and/or video, and even more preferably video. The technology to be used for any of the above includes TVs, TVs with set-top web browsers, PCs, telephones, and satellite connections.


In the case where the consumer selects an expert on the Internet, the server can connect both using a two-step procedure wherein two separate and independent transmissions (e.g., telephone calls) are placed and then the two transmissions are joined together. This allows the server to store the expert addresses/phone numbers anonymously and control the connection.


The server should be able to monitor the interactions to provide for quality control and/or exact payment.


EXAMPLE

Two experts, Joe and Bill, connect to the Advice Router and fill out forms describing their expertise. Joe is expert in Microsoft's Word and Powerpoint programs, and Bill is expert in the Word and Excel programs. The server detects that they are both logged on. Later that evening, Bill is busy with a consumer for a period he estimates will be 15 more minutes. Joe is free. At that moment, David, a consumer, logs on and fills out a keyword query list that best suits his question: how to turn off the automatic spellchecker in Microsoft Word. He also gives his VISA credit card number via a secure link. A second after he finishes his entry, a display on his PC shows two color-coded boxes coinciding with the current list of available experts, Joe and Bill (only their code names are used, however). The relevance score for both is 1.0 (optimal) since both are experts in Microsoft Word. Both experts also charge the same rate, $1.00 per minute. However, a small box in Joe's area is clearly green and easy to read—this box corresponds to the fact that Joe is available at this instant to speak to David. (David does not select Bill since the red color in his box corresponds to a 15 min. wait or more). David clicks an icon in Joe's box and a second or two later, a streaming real-time video of Joe appears on David's PC, and if David's PC is so enabled, Joe sees David in his PC. They spend five minutes solving David's problem and log out. Prior to logging out, however, David receives a $0.50 rebate on the cost of the connection by rating the quality of Joe's help, from 0 for “awful” to 10 for “great”. The cost of David's call is $5.00 minus $0.50 or $4.50; in his case, this is added to his monthly $50-$100 phone/Internet bill.


For maintaining the site, the Advice Router deducts $1.00 from the net $4.50 received and remits $3.50 to Joe. If David had not elected to receive the $0.50 rebate, the Advice Router would have made $1.50 on the call.


For most of its experts, the Advice Router takes out 30% before paying the experts.


Mobile/Wireless Examples



FIG. 2 shows a diagram of a system to make and track phone connections according to one embodiment of the present invention.


In FIG. 2, a database (221) may contain the phone numbers of target phone A (231), target phone B (233), . . . , target phone X (239), etc., such as the phones of the experts of diverse advice sources (or advertisers). Typically, the target phones belong to the institutions, businesses, individuals, etc, which seek for publicity through various media channels, such as media channel A (201) (e.g., web server), media channel B (202) (e.g., WAP server), media channel C (203) (e.g., short messaging service center), media channel D (204) (e.g., custom server), media channel E (207) (e.g., cable television), media channel F (208) (e.g., news press), media channel G (209) (e.g., radio station), etc.


In one embodiment of the present invention, the phone numbers of the target phones are not directly publicized over the media channels. Instead, encoded target phone numbers (223) are used. Using the encoded target phone numbers (223), a user cannot reach target phones directly. The encoded target phone numbers (223) allow the association of additional information with the target phone numbers, such as the media channels used, special promotions, etc.


The encoded target phone numbers can be delivered with content information (e.g., web page, WAP page, short message, television programs, news articles, etc.) to user devices, such as user device A (211) (e.g., cellular phone), user device B (212) (e.g., personal digital assistant (PDA)), user device C (213) (e.g., computer), user device D (216) (e.g., receiver), user device E (218) (e.g., newspaper).


In one embodiment, the user devices are mobile devices, such as PDA, cellular phone, etc. The user devices obtain content information, including advertisements (e.g., listings of experts), through wireless communication connections, such as cellular communication links, wireless access points for wireless local area network, etc.


In one embodiment, a user device (e.g., a cellular phone, a computer, a PDA) can receive content information from multiple types of media channels (e.g., a web server, a WAP server, a SMSC, etc.).


In one embodiment, a user device is capable to dial a phone call (e.g., automatically according to the encoded phone number embedded in the content information when a user selects the number). Alternatively, a user may manually dial a phone call using a separate phone, such as user phone S (217) or user phone T (219).


In one embodiment, dialing at least a portion of an encoded target phone number connects the phone call to a phone decoder and router (225) first. According to the encoded target phone number dialed, the phone decoder and router (225) determines the corresponding target phone number using the database (221) and connects the phone call to the corresponding target phone (e.g., one of target phones 231-239) through the telephone network (227).


Note the telephone network (227) may be circuit switched, package switched, or partially circuit switched and partially package switched. For example, the telephone network may partially use the Internet to carry the phone call (e.g., through VoIP). For example, the connection between the user phone/device and the phone decoder and router (225) may be carried using VoIP; and the connection between the phone decoder and router (225) may be carried using a land-line based, circuit switched telephone network.


In one embodiment of the present invention, the information associated with the encoded target phone number, such as the media channel used to provide the encoded target phone number to the users, is also decoded/retrieved using the database (221). Thus, the information associated with the encoded target phone number can be tracked/stored.


In one embodiment, the phone decoder and router (225) also determines the phone number of the user through Automatic Number Identification (ANI). ANI is a phone system feature that provides the billing number of the person making the phone call.


The information about the caller, target phone number, the media channel used for delivering the contact information to the user can be used to bill the caller and/or the target phone number, and provide credit/compensation for the corresponding media channel.


For example, the advertisements for target phone numbers can be paid for on a pay per call basis. Monitoring and tracking the calls can be used for billing the advertisers (e.g., the experts, or billing the customers, such as the consumers). Alternatively, the users may be seeking the contact information on a pay per call basis. Monitoring and tracking the calls can be used for billing the users.


In one embodiment of the present invention, the additional information associated with the encoded target phone number is used to provide credit/compensation to the operators of the corresponding media channels that are responsible for leading the users to the phone calls to the target phones. The system can further track the time and duration of the phone calls and other information, such as conditional promotions, electronic coupons, etc.


The information about the media channels that are responsible for leading the users to the phone calls to the target phones can also be useful for the advertisers. The advertisers may wish to know which media channel is more effective in reaching users. For example, using the statistic information about the media channels which successfully bring in phone calls, the advertisers may fine tune advertisement strategies. Further, different media channels may charge differently for the advertisements; and the advertisers may bid differently on different media channels for their advertisements.


In one embodiment of the present invention, an encoded target phone number has the same number of digits as a standard phone number (e.g., a typical telephone number assigned by a telephone company). Thus, dialing the encoded target phone number is as easy as dialing the target phone number; and dialing the target phone number reaches the phone decoder and router (225). In such an arrangement, a large number of encoded phone numbers are generally required to differentiate the different target phones and different media channels.


In one embodiment of the present invention, an encoded target phone number has more digits than a standard phone number. A first portion of the encoded target phone number has the same number of digits as a standard phone number to reach the phone decoder and router (225) through the telephone network (227); and a second portion of the encoded target phone number is to be decoded by the phone decoder and router (225). For example, the Dual Tone Multi-Frequency (DTMF) decoder can be installed in the phone decoder and router (225) to detect the second portion of the encoded target phone number dialed at the user phone. The detected phone number can then be used to recover the target phone number.


When an encoded target phone number has more digits than a standard phone number, the additional digits can be implemented as a telephone extension, or as an IVR system.


In one embodiment of the present invention, a single telephone number is used to reach the phone decoder and router (225) for different target phone numbers; and the portion of the encoded target phone number that is used to reach the phone decoder and router (225) is not used in determining the information associated with the encoded target phone number.


Alternatively, multiple telephone numbers can be used to reach the phone decoder and router (225); and the entire encoded target phone number can be used to determine the information associated with the encoded target phone number.


In one embodiment of the present invention, the encoded target phone numbers can have different numbers of digits. The advertisers may be arranged to bid for shorter encoded target phone numbers.


In one embodiment of the present invention, the encoded target phone numbers are assigned only when needed for use in a media channel.


In one embodiment, a look-up table approach is used to encode the information. For example, the database (221) keeps track of the information about the media channel and the target phone number (and other information, if any) for the encoded target phone number so that the encoded target phone number can be used as a key to retrieve the corresponding information. Thus, it is not necessary to have a predetermined structure to encode the information about the media channels and the target phone number.


Alternatively, algorithms can be used to generate and encode target phone number and associated information. For example, a predetermined algorithm may be used to encode different information in the target phone number. For example, the target phone number may include a number of field separated by “*” or “#”. Each of the field can be decoded separately (e.g., from a separate look up table or a mapping algorithm) to determine the target phone number, identity of the media channel, etc.


For example, a set of parameters can be mapped from a string of characters to a string of numerical digits as a part of the encoded target phone number; and the string of numbers can be mapped back into the string of characters at the phone decoder and router (225). When such a mapping scheme is used, a look up table is not necessary. For example, an encoded target phone number may include a first portion that is the phone number of the phone decoder and router (225), a second portion that is the target phone number appended with a number mapped from an identifier of the media channel. To prevent the user from dialing the target phone number directly, an encryption/scrambling scheme can be used to encode the second portion, which is decoded at the phone decoder and router (225).


In one embodiment of the present invention, the phone decoder and router (225) determines the target phone number from the encoded target phone number dialed by the user and then dials the target phone number for the user and joins the phone calls so that the user can talk to the target phone.


In one embodiment of the present invention, users dial the encoded target phone numbers manually. A user can dial the encoded target phone number regardless the user device used and the media channel used.


Alternatively, in one embodiment, user devices can automatically dial the encoded target phone numbers. For example, a cellular phone, a computer or a PDA can dial a phone number using a Dual Tone Multi-Frequency (DTMF) generator. In one embodiment of the present invention, the encoded target phone numbers are presented in the content information in a format such that when the user selects the phone number the user device (e.g., a cellular phone or a computer) dials the encoded target phone number for the user. The user selection may be in the form of an keyboard/keypad input, a touch pad input, a track ball input, a mouse input, a voice command, etc.


In one embodiment, the user device initiates the phone call through a VoIP system when the user selects the encoded target phone number.


In one embodiment of the present invention, the user device dials the phone number for the user without the user manually pressing the sequence of the encoded target phone numbers. This greatly simplifies the process of make the phone call. Since a user device can dial a long sequence of number easily, a large number of digits can be used to encode the information without presenting any difficulties for the users.


In one embodiment of the present invention, the encoded target phone numbers are formatted so that the user device dials a first portion of the encoded target phone numbers to access the phone decoder and router (225), pauses for a short period of time for the phone decoder and router (225) to prepare for receiving the second portion of the encoded target phone numbers, and then dials the second portion of the encoded target phone numbers. Thus, the user device provides a user-friendly way of dialing the encoded target phone numbers; and, making the phone call can be as easy as making a “click” to access a web page.


In FIG. 2, the user device initiates the phone call. Alternatively, a phone router may be used to initiate phone calls both to the user device (or a separate user phone) and the target phone and then join the phone calls to connect the user to the target phone. For example, when the user selects the encoded target phone number, the selection of the target phone number is transmitted to the phone router with the user phone number.


The user phone number can be automatically determined through ANI, or through a user preference setting, or through an entry submitted with the selection of the encoded target phone number.


In one embodiment, the selection of the encoded target phone number is transmitted to the corresponding media channel, which forwards the request for making the phone call to a server (e.g., a web server) connected to the phone router. Alternatively, the content information can be formatted so that the selection is sent directly to the server that is connected to the phone router.


When the router starts the phone calls, the encoded target phone number can also include alphabetic characters (and/or other characters). The server and/or the phone router can decode the encoded target phone number to recover/retrieve the target phone number and other associated information, such as the identity of the media channel that is creditable for providing the encoded target phone number to user. In one embodiment, the encoded target phone number is an indication of the identity of the selected expert; and a server looks up the target phone number according to the indication of the identity of the selected expert.



FIG. 3 shows a diagram of a system to make and track phone connections from a mobile device according to one embodiment of the present invention.


In FIG. 3, a mobile device (301) accesses content server A (321), content server B (323), content server X (329), etc., through a wireless link (335) to a access point, such as access point A (311), access point B (313), and access point C (315). In general, the access points may be of different types. For example, the access point may be a cellular base station, an access point for wireless local area network (e.g., a WiFi access point), an access point for wireless personal area network (e.g., a Bluetooth access point), etc. The access point connects the mobile device to the content servers through a communication network (319), which may include the Internet, an intranet, a local area network, a public switched telephone network (PSTN), private communication networks, etc.


In one embodiment, the content servers provide encoded target phone numbers, which when dialed connect the mobile device to the phone router/connecter (331) which used the database (333) to decode the encoded information and/or store the information about the phone call in the database (333). The router/connecter (331) further connects the mobile device to the target phones. Alternatively, the router/connecter (331) may dial phone calls to the mobile device and the corresponding target phone and then join the phone calls to connect the mobile device and the target phone.


In one embodiment of the present invention, location-dependent content information is delivered from a content server to the mobile device. The user may enter the location manually (e.g., through text input or voice input which is processed through a speech recognition system). The content information may be presented on a display screen or using an audio channel through a text to speech system.


Alternatively, the location of the mobile device may be determined automatically, which is then used to determine the location-dependent content information. For example, the location of the mobile device may be determined through a Global Positioning System (GPS) receiver that is connected to, or built within, the mobile device.


A location of a cellular phone can also be determined using a method known as Time Difference of Arrival (TDOA) in which the reception times of a cellular signal from a mobile station are measured at several base stations to determine the position of the cellular phone. Alternative, a method known as Advanced Forward Link Trilateration (AFLT), or Enhanced Observed Time Difference (EOTD), can be used, which measures the reception times of cellular signals from several base stations to the cellular phone. Alternatively, the cellular site in which the mobile device can communicate to a based station can be used to determine a rough position of the cellular phone. In general, any method used by a cellular phone provider to get location information (e.g., for emergency service) can be used.


An access point for a wireless local area network or a wireless personal area network typically has a small coverage area. Based on the location of the access point, location information (e.g., the city, or more precise location information) can be obtained.


Further, ANI can also be used to determine the location information. Although the location information determined from ANI may not represent a correct position of a mobile device, content information about the location determined from ANI may still be of interest to the user.


In one embodiment of the present invention, when the user performs a search for information which may be location dependent, the location automatically determined for the mobile device is used with the search request. For example, when the user search for “hotels” without specifying a location using an SMS-based search, the city in which the mobile device is located is determined; and a pay-per-call list of hotels in the city is sent via SMS to the mobile device.


In one example, the user may search for “dentists” in a custom client application; and a custom server application provides a pay-per-call list of “dentists” close to the current position of the mobile device.


In one example, the user may search in a web page or a WAP page for a particular subject. The return results include one or more pay-per-call advertisements to be presented in a browser running in the mobile device.


In one embodiment of the present invention, certain content information is automatically channeled into the mobile device when the mobile device enters into a wireless access zone. For example, when the mobile device enters into a commercial district, pay-per-call lists of various nearby points of interest, such as hotels, movie theaters, restaurants, etc., can be automatically presented on the mobile device, according to user preferences.


In one embodiment of the present invention, a user may search for particular types of experts, businesses, institutions, persons, etc. When the user is interested in calling one selected entity (e.g., an expert, a doctor, a restaurant), the mobile device can automatically dial the encoded phone number of the entity without the user manually dial the number; and the phone router/connecter decodes the information and connects the mobile device to the phone of the selected entity. Alternatively, the phone number of the mobile device may be determined (e.g., through ANI, or user input, or user preference setting); and the phone connector connects phone calls to both the mobile device and the phone of the selected entity to connect the user to the selected entity. In such a process, the identity of the mobile device may be kept anonymous from the selected entity; and the identity of the selected entity may also be kept anonymous from the user of the mobile device.



FIGS. 4-5 show flow diagrams of making and tracking phone connections according to embodiments of the present invention.


In FIG. 4, operation 401 presents content information to a user of a mobile device (e.g., through a wireless connection) where the content information contains information corresponding to a target phone number. In one embodiment, the content information includes a list of experts of diverse advice sources. The list may include information about availability of the individual experts to telephonically communicate with the user at the time the list is provided to the user. The list may further include information such as certification, compensation rate, quality score, avatar representation of the experts, etc. In one embodiment, the list is provided in response to the user requests a search of experts based on expert characteristics. In one embodiment, the list is provided in response to a user selection of category. In one embodiment, the list is provided in response to a location determination of the mobile device (e.g., as the mobile device entering a commercial district).


After operation 403 receives a user request to make a phone connection between a user phone number and the target phone number, operation 405 makes a first phone call to the user phone number; and operation 407 makes a second phone call to the target phone number. Operation 409 joins the first and second phone calls to connect the user phone number and the target phone number. For example, the user may make the request through selecting an expert from the list of experts (e.g., clicking on a representation of the expert displayed on a screen, providing a voice command to select the expert, etc.)


Operation 411 records information identifying the target phone number and/or the user for the phone call. The recorded information can be used to bill the user and/or the target phone number.


In one embodiment, after the telephonic communication between the expert and the consumer, the consumer is prompted to provide a quality score for the expert. The system determines a quality score for the expert for display with lists of experts based on the quality scores provided by the consumers (e.g., through an average or weighted average, such as weighted based the time period of the telephonic communication).


In FIG. 5, operation 501 receives a user request (e.g., voice or text) at a mobile device (e.g., a cellular phone) for a type of content information.


If operation 503 determines that the content information depends on the location of the mobile device, operation 505 determines location information of the mobile device (e.g., through a GPS receiver, Automatic Number Identification, a cellular location server).


Operation 507 transmits content information from a content provider to a user of the mobile device (e.g., through a wireless connection) where the content information contains information about an entity (e.g., a list of experts).


Operation 509 receives a user request at the mobile device to call the entity. For example the user may select an expert from a list of experts. Operation 511 determines a phone number of the mobile device. Operation 513 forwards the user request and the phone number to a routing station.


Operation 515 dials the phone number of the mobile device to make a first phone call. Operation 517 dials a phone number of the entity to make a second phone call. Operation 519 joins the first and second phone calls.


Operation 521 records information identifying the phone number of the entity and/or the phone number of the user for the phone call. In one embodiment, the media channel that provides the information about the entity is also determined and recorded.



FIG. 6 shows a block diagram example of a data processing system which may be used with the present invention.


While FIG. 6 illustrates various components of a computer system, it is not intended to represent any particular architecture or manner of interconnecting the components. Other systems that have fewer or more components may also be used with the present invention.


In FIG. 6, the communication device (601) is a form of a data processing system. The system (601) includes an inter-connect (602) (e.g., bus and system core logic), which interconnects a microprocessor(s) (603) and memory (611). The microprocessor (603) is coupled to cache memory (604) in the example of FIG. 6.


The inter-connect (602) interconnects the microprocess(s) (603) and the memory (611) together and also interconnects them to a display controller and display device (607) and to peripheral devices such as input/output (I/O) devices (605) through an input/output controller(s) (606). Typical I/O devices include mice, keyboards, modems, network interfaces, printers, scanners, video cameras and other devices which are well known in the art.


The inter-connect (602) may include one or more buses connected to one another through various bridges, controllers and/or adapters. In one embodiment the I/O controller (606) includes a USB (Universal Serial Bus) adapter for controlling USB peripherals, and/or an IEEE-1394 bus adapter for controlling IEEE-1394 peripherals.


The memory (611) may include ROM (Read Only Memory), and volatile RAM (Random Access Memory) and non-volatile memory, such as hard drive, flash memory, etc.


Volatile RAM is typically implemented as dynamic RAM (DRAM) which requires power continually in order to refresh or maintain the data in the memory. Non-volatile memory is typically a magnetic hard drive, a magnetic optical drive, or an optical drive (e.g., a DVD RAM), or other type of memory system which maintains data even after power is removed from the system. The non-volatile memory may also be a random access memory.


The non-volatile memory can be a local device coupled directly to the rest of the components in the data processing system. A non-volatile memory that is remote from the system, such as a network storage device coupled to the data processing system through a network interface such as a modem or Ethernet interface, can also be used.


In one embodiment of the present invention, a server data processing system as illustrated in FIG. 6 is used in an advice router to operate a database, to decode and route phone calls, to provide lists of experts to the customs (e.g., as running a Web or WAP server, a server for SMS center, a custom server, etc.), to initiate and join phone calls consumers and experts, to perform text-to-speech and/or voice recognition, to perform location determination computations, and/or to monitor telephonic connections, etc.


In one embodiment, a user terminal can be a data processing system similar to the system of FIG. 6, with more or less components. A data processing system as the user terminal can be in the form of a PDA, a cellular phone, a notebook computer, a personal desktop computer, etc.


Alternatively, the traditional communication client(s) may be used in some embodiments of the present invention.


In general, the routines executed to implement the embodiments of the invention may be implemented as part of an operating system or a specific application, component, program, object, module or sequence of instructions referred to as “computer programs.” The computer programs typically comprise one or more instructions set at various times in various memory and storage devices in a computer, and that, when read and executed by one or more processors in a computer, cause the computer to perform operations necessary to execute elements involving the various aspects of the invention.


While some embodiments of the invention have been described in the context of fully functioning computers and computer systems, those skilled in the art will appreciate that various embodiments of the invention are capable of being distributed as a program product in a variety of forms and are capable of being applied regardless of the particular type of machine or computer-readable media used to actually effect the distribution.


Examples of computer-readable media include but are not limited to recordable and non-recordable type media such as volatile and non-volatile memory devices, read only memory (ROM), random access memory (RAM), flash memory devices, floppy and other removable disks, magnetic disk storage media, optical storage media (e.g., Compact Disk Read-Only Memory (CD ROMS), Digital Versatile Disks, (DVDs), etc.), among others, and transmission type media such as digital and analog communication links for electrical, optical, acoustical or other forms of propagated signals, such as carrier waves, infrared signals, digital signals, etc.


A machine readable medium can be used to store software and data which when executed by a data processing system causes the system to perform various methods of the present invention. The executable software and data may be stored in various places including for example ROM, volatile RAM, non-volatile memory and/or cache. Portions of this software and/or data may be stored in any one of these storage devices.


In general, a machine readable medium includes any mechanism that provides (i.e., stores and/or transmits) information in a form accessible by a machine (e.g., a computer, network device, personal digital assistant, manufacturing tool, any device with a set of one or more processors, etc.).


Aspects of the present invention may be embodied, at least in part, in software. That is, the techniques may be carried out in a computer system or other data processing system in response to its processor, such as a microprocessor, executing sequences of instructions contained in a memory, such as ROM, volatile RAM, non-volatile memory, cache or a remote storage device.


In various embodiments, hardwired circuitry may be used in combination with software instructions to implement the present invention. Thus, the techniques are not limited to any specific combination of hardware circuitry and software nor to any particular source for the instructions executed by the data processing system.


In this description, various functions and operations are described as being performed by or caused by software code to simplify description. However, those skilled in the art will recognize what is meant by such expressions is that the functions result from execution of the code by a processor, such as a microprocessor.


Although some of the drawings illustrate a number of operations in a particular order, operations which are not order dependent may be reordered and other operations may be combined or broken out. While some reordering or other groupings are specifically mentioned, others will be apparent to those of ordinary skill in the art and so do not present an exhaustive list of alternatives. Moreover, it should be recognized that the stages could be implemented in hardware, firmware, software or any combination thereof.


Although the present invention has been described with reference to specific exemplary embodiments, it will be evident that the various modification and changes can be made to these embodiments without departing from the broader spirit of the invention as set forth in the claims. Accordingly, the specification and drawings are to be regarded in an illustrative sense rather than in a restrictive sense.

Claims
  • 1. A method, comprising: providing a list of experts of diverse advice sources to a mobile device via a wireless media channel for presentation to a consumer, the list comprising:information to indicate whether one or more of the experts are individually available to telephonically communicate with the consumer at a time when the list is provided to the consumer, andtelephonic references of a phone router assigned to the experts, the telephonic references selectable to cause the mobile device to call the phone router using the telephonic references, each of the telephonic references comprising an encoded target phone number associated with additional information that includes an identification of the wireless media channel used to deliver the list of experts to the mobile device; andresponsive to the phone router receiving a phone call from the mobile device using one telephonic reference of the telephonic references of the phone router assigned to an expert selected from the list of experts, determining a telephonic reference of the expert, decoding, by the phone router, the encoded target phone number to retrieve a target phone number of the expert, and initiating a telephonic connection to the expert, by the phone router, using the telephonic reference of the expert to connect the phone call from the consumer to the target phone number of the expert.
  • 2. The method of claim 1, further comprising: joining the phone call from the mobile phone and the telephonic connection to connect the expert and the consumer.
  • 3. The method of claim 1, wherein the mobile device comprises a cellular phone.
  • 4. The method of claim 3, wherein said providing further comprises: performing text-to-speech on the list.
  • 5. The method of claim 2, wherein the media channel comprises one of: a web-based channel;a Wireless Application Protocol (WAP) channel;a custom client-server channel over a wireless communication link; anda Short Message Service (SMS) based channel.
  • 6. The method of claim 2, further comprising: determining a location of the mobile device;wherein the list is provided to the mobile device, via the wireless media channel, according to the location of the mobile device.
  • 7. The method of claim 6, wherein the determining of the location of the mobile device comprises determining the location of the mobile device by one of: an Automatic Number Identification (ANI) based location determination system;a Global Positioning System (GPS) receiver coupled to the mobile device; anda cellular communication system.
  • 8. The method of claim 1, wherein said providing comprises transmitting wirelessly the list in response to a search submitted from the mobile device.
  • 9. The method of claim 8, wherein a request for the search is received as a voice input at the mobile device; the method further comprises: generating text for the search from the voice input using a speech recognition technique.
  • 10. The method of claim 1, wherein said providing comprises transmitting wirelessly the list to the mobile device in response to determining a location of the mobile device.
  • 11. The method of claim 1, wherein said providing is in response to the mobile device entering into a predefined district; the list is based at least partially on a current location of the mobile device; andthe list is provided without an explicit user request from the mobile device.
  • 12. The method of claim 1, further comprising: prompting the consumer to provide a quality score for the expert.
  • 13. The method of claim 1, wherein the list comprises information to individually indicate whether each of the experts is available to telephonically communicate with the consumer at a time when the list is provided to the consumer.
  • 14. The method of claim 1, wherein the list comprises one of: an avatar representation for each of the experts;certification information for each of the experts;a compensation rate for each of the experts; anda quality score provided by previous consumers of the experts.
  • 15. The method of claim 1, wherein the list is provided in response to one of: a selection of a category of experts; anda keyword search to match expert characteristics.
  • 16. The method of claim 1, wherein the telephonic connection comprises at least one of: an internet telephony connection;Voice over Internet Protocol (VoIP); anda video connection.
  • 17. The method of claim 1, further comprising: monitoring how long the telephonic connection is maintained between the expert and the consumer;wherein the consumer is charged based upon how long the telephonic connection is maintained.
  • 18. A non-transitory machine readable medium containing instructions that when executed by a processor computer system, cause the computer system to: provide a list of experts of diverse advice sources to a mobile device via a wireless media channel for presentation to a consumer, the list comprising:information to indicate whether one or more of the experts are individually available to telephonically communicate with the consumer at a time when the list is provided to the consumer, andtelephonic references of a phone router assigned to the experts, the telephonic references selectable to cause the mobile device to call the phone router using the telephonic references, each of the telephonic references comprising an encoded target phone number associated with additional information that includes an identification of the wireless media channel used to deliver the list of experts to the mobile device; andresponsive to the phone router receiving a phone call from the mobile device using one telephonic reference of the telephonic references of the phone router assigned to an expert selected from the list of experts, determining a telephonic reference of the expert, decoding, by the phone router, the encoded target phone number to retrieve a target phone number of the expert, and initiating a telephonic connection to the expert, by the phone router, using the telephonic reference of the expert to connect the phone call from the consumer to the target phone number of the expert.
  • 19. A system, comprising: a phone router; anda computer server to provide a list of experts of diverse advice sources to a mobile device via a wireless media channel for presentation to a consumer, the list comprising:telephonic references of a phone router assigned to the experts, the telephonic references selectable to cause the mobile device to call the phone router using the telephonic references, each of the telephonic references comprising an encoded target phone number associated with additional information that includes an identification of the wireless media channel used to deliver the list of experts to the mobile device; andthe phone router configured to, responsive to receiving a phone call from the mobile device using one telephonic reference of the telephonic references of the phone router assigned to an expert selected from the list of experts, determine a telephonic reference of the expert, decode the encoded target phone number to retrieve a target phone number of the expert, and initiate a telephonic connection to the expert using the telephonic reference of the expert to connect the phone call from the consumer to the target phone number of the expert.
RELATED APPLICATIONS

The present patent application is a continuation application of U.S. patent application Ser. No. 11/123,566, filed May 5, 2005, entitled “Methods and Apparatuses for Delivery of Advice to Mobile/Wireless Devices,” now U.S. Pat. No. 8,358,768, issued Sep. 17, 2013. The present patent application is related to U.S. patent application Ser. No. 11/077,655, filed Mar. 10, 2005 and now U.S. Pat. No. 7,428,497, entitled “Methods and Apparatuses for Pay-per-call Advertising in Mobile/Wireless Applications”, which claimed the priority of Provisional U.S. Patent Application Ser. No. 60/653,708 filed Feb. 16, 2005. The present patent application is related to U.S. patent application Ser. No. 09/782,925, filed Feb. 13, 2001 and now U.S. Pat. No. 6,549,889, U.S. patent application Ser. No. 09/782,984, filed Feb. 13, 2001 and now U.S. Pat. No. 6,546,372, and U.S. patent application Ser. No. 10/951,502, filed Sep. 27, 2004, which is a continuation application of U.S. patent application Ser. No. 10/107,743, filed Mar. 26, 2002 and now U.S. Pat. No. 6,801,899, which is continuation application of U.S. patent application Ser. No. 09/733,872, filed Dec. 8, 2000 and now U.S. Pat. No. 6,523,010, which is a continuation application of U.S. patent application Ser. No. 09/488,130, filed Jan. 20, 2000 and now U.S. Pat. No. 6,223,165.

US Referenced Citations (399)
Number Name Date Kind
4313035 Jordan et al. Jan 1982 A
4577065 Frey et al. Mar 1986 A
4604686 Reiter et al. Aug 1986 A
4631428 Grimes Dec 1986 A
4645873 Chomet Feb 1987 A
4677434 Fascenda Jun 1987 A
4677659 Dargan Jun 1987 A
4723283 Nagasawa et al. Feb 1988 A
4741025 Maruyama et al. Apr 1988 A
4751669 Sturgis et al. Jun 1988 A
4752675 Zetmeir Jun 1988 A
4757267 Riskin Jul 1988 A
4796293 Blinken et al. Jan 1989 A
4817129 Riskin Mar 1989 A
4847890 Solomon et al. Jul 1989 A
4878239 Solomon et al. Oct 1989 A
4969185 Dorst et al. Nov 1990 A
5017917 Fisher et al. May 1991 A
5058152 Solomon et al. Oct 1991 A
5099510 Blinken, Jr. et al. Mar 1992 A
5148474 Haralambopoulos et al. Sep 1992 A
5155743 Jacobs Oct 1992 A
5155761 Hammond Oct 1992 A
5206903 Kohler et al. Apr 1993 A
5319542 King, Jr. et al. Jun 1994 A
5325424 Grube Jun 1994 A
5339358 Danish et al. Aug 1994 A
5347632 Filepp et al. Sep 1994 A
5359508 Rossides Oct 1994 A
5361295 Solomon et al. Nov 1994 A
5369694 Bales et al. Nov 1994 A
5373549 Bales et al. Dec 1994 A
5436957 McConnell Jul 1995 A
5448625 Lederman Sep 1995 A
5453352 Tachibana Sep 1995 A
5459779 Backaus et al. Oct 1995 A
5469497 Pierce et al. Nov 1995 A
5483352 Fukuyama et al. Jan 1996 A
5483588 Eaton et al. Jan 1996 A
5497502 Castille Mar 1996 A
5524146 Morrisey et al. Jun 1996 A
5533103 Peavey et al. Jul 1996 A
5537314 Kanter Jul 1996 A
5539735 Moskowitz Jul 1996 A
5539813 Jonsson Jul 1996 A
5544237 Bales et al. Aug 1996 A
5555298 Jonsson Sep 1996 A
5557677 Prytz Sep 1996 A
5559875 Bieselin et al. Sep 1996 A
5574780 Andruska et al. Nov 1996 A
5574781 Blaze Nov 1996 A
5589892 Knee et al. Dec 1996 A
5590197 Chen et al. Dec 1996 A
5596634 Fernandez et al. Jan 1997 A
5602905 Mettke Feb 1997 A
5604803 Aziz Feb 1997 A
5608786 Gordon Mar 1997 A
5615213 Griefer Mar 1997 A
5619148 Guo Apr 1997 A
5619555 Fenton et al. Apr 1997 A
5619570 Tsutsui Apr 1997 A
5619725 Gordon Apr 1997 A
5619991 Sloane Apr 1997 A
5623536 Solomon et al. Apr 1997 A
5634012 Stefik et al. May 1997 A
5638432 Wille et al. Jun 1997 A
5644715 Baugher Jul 1997 A
5651058 Hackett-Jones et al. Jul 1997 A
5659742 Beattie et al. Aug 1997 A
5668953 Sloo Sep 1997 A
5675734 Hair Oct 1997 A
5689553 Ahuja et al. Nov 1997 A
5694163 Harrison Dec 1997 A
5694537 Montenegro et al. Dec 1997 A
5694549 Carlin et al. Dec 1997 A
5701419 McConnell Dec 1997 A
5710887 Chelliah et al. Jan 1998 A
5712979 Graber et al. Jan 1998 A
5715314 Payne et al. Feb 1998 A
5717860 Graber et al. Feb 1998 A
5718247 Frankel Feb 1998 A
5721763 Joseph et al. Feb 1998 A
5722418 Bro Mar 1998 A
5724424 Gifford Mar 1998 A
5724521 Dedrick Mar 1998 A
5734961 Castille Mar 1998 A
5740231 Cohn et al. Apr 1998 A
5740549 Reilly et al. Apr 1998 A
5745681 Levine et al. Apr 1998 A
5768348 Solomon et al. Jun 1998 A
5768521 Dedrick Jun 1998 A
5774534 Mayer Jun 1998 A
5778367 Wesinger, Jr. et al. Jul 1998 A
5781894 Patrecca et al. Jul 1998 A
5794210 Goldhaber et al. Aug 1998 A
5794221 Egendorf Aug 1998 A
5802502 Gell et al. Sep 1998 A
5809119 Tonomura et al. Sep 1998 A
5809145 Slik et al. Sep 1998 A
5812769 Graber et al. Sep 1998 A
5818836 DuVal Oct 1998 A
5819092 Ferguson et al. Oct 1998 A
5819267 Uyama Oct 1998 A
5819271 Mahoney et al. Oct 1998 A
5819285 Damico et al. Oct 1998 A
5825869 Brooks et al. Oct 1998 A
5825876 Peterson, Jr. Oct 1998 A
5832523 Kanai et al. Nov 1998 A
5835896 Fisher et al. Nov 1998 A
5841763 Leondires et al. Nov 1998 A
5842212 Ballurio et al. Nov 1998 A
5845265 Woolston Dec 1998 A
5850433 Rondeau Dec 1998 A
5860068 Cook Jan 1999 A
5862223 Walker et al. Jan 1999 A
5864871 Kitain et al. Jan 1999 A
RE36111 Neville Feb 1999 E
5870744 Sprague Feb 1999 A
5878130 Andrews et al. Mar 1999 A
5884029 Brush et al. Mar 1999 A
5884032 Bateman et al. Mar 1999 A
5884272 Walker et al. Mar 1999 A
5884282 Robinson Mar 1999 A
5889774 Mirashrafi et al. Mar 1999 A
5890138 Godin et al. Mar 1999 A
5893077 Griffin Apr 1999 A
5901214 Shaffer et al. May 1999 A
5903635 Kaplan May 1999 A
5903877 Berkowitz et al. May 1999 A
5907677 Glenn et al. May 1999 A
5911132 Sloane Jun 1999 A
5914951 Bentley et al. Jun 1999 A
5915214 Reece et al. Jun 1999 A
5924082 Silverman et al. Jul 1999 A
5937390 Hyodo Aug 1999 A
5940471 Homayoun Aug 1999 A
5940484 DeFazio et al. Aug 1999 A
5943422 Van Wie et al. Aug 1999 A
5946646 Schena et al. Aug 1999 A
5948054 Nielsen Sep 1999 A
5960069 Felger Sep 1999 A
5960416 Block Sep 1999 A
5963861 Hanson Oct 1999 A
5974141 Saito Oct 1999 A
5974398 Hanson et al. Oct 1999 A
5982863 Smiley et al. Nov 1999 A
5987102 Elliott et al. Nov 1999 A
5987118 Dickerman et al. Nov 1999 A
5987430 Van Horne et al. Nov 1999 A
5991394 Dezonno et al. Nov 1999 A
5991735 Gerace Nov 1999 A
5999609 Nishimura Dec 1999 A
5999611 Tatchell et al. Dec 1999 A
6006197 D'Eon et al. Dec 1999 A
6011794 Mordowitz et al. Jan 2000 A
6014439 Walker et al. Jan 2000 A
6014644 Erickson Jan 2000 A
6016478 Zhang et al. Jan 2000 A
6026087 Mirashrafi et al. Feb 2000 A
6026148 Dworkin et al. Feb 2000 A
6026400 Suzuki Feb 2000 A
6028601 Machiraju et al. Feb 2000 A
6029141 Bezos et al. Feb 2000 A
6035021 Katz Mar 2000 A
6046762 Sonesh et al. Apr 2000 A
6049779 Berkson Apr 2000 A
6055513 Katz et al. Apr 2000 A
6058379 Odom et al. May 2000 A
6064978 Gardner et al. May 2000 A
6067561 Dillon May 2000 A
6078866 Buck et al. Jun 2000 A
6108493 Miller et al. Aug 2000 A
6130933 Miloslavsky Oct 2000 A
6131085 Rossides Oct 2000 A
6144670 Sponaugle et al. Nov 2000 A
6167379 Dean et al. Dec 2000 A
6167449 Arnold et al. Dec 2000 A
6173279 Levin et al. Jan 2001 B1
6175619 DeSimone Jan 2001 B1
6185194 Musk et al. Feb 2001 B1
6185289 Hetz et al. Feb 2001 B1
6188673 Bauer et al. Feb 2001 B1
6188761 Dickerman et al. Feb 2001 B1
6192050 Stovall Feb 2001 B1
6199096 Mirashrafi et al. Mar 2001 B1
6212192 Mirashrafi et al. Apr 2001 B1
6212268 Nielsen Apr 2001 B1
6216111 Walker et al. Apr 2001 B1
6219045 Leahy et al. Apr 2001 B1
6223165 Lauffer Apr 2001 B1
6230287 Pinard et al. May 2001 B1
6233566 Levine et al. May 2001 B1
6243684 Stuart et al. Jun 2001 B1
6246875 Seazholtz et al. Jun 2001 B1
6248946 Dwek Jun 2001 B1
6259774 Miloskavsky Jul 2001 B1
6266651 Woolston Jul 2001 B1
6269336 Ladd et al. Jul 2001 B1
6269361 Davis et al. Jul 2001 B1
6282515 Speicher Aug 2001 B1
6292799 Peek et al. Sep 2001 B1
6298056 Pendse Oct 2001 B1
6301342 Ander et al. Oct 2001 B1
6301350 Henningson et al. Oct 2001 B1
6304637 Mirashrafi et al. Oct 2001 B1
6310941 Crutcher et al. Oct 2001 B1
6311231 Bateman et al. Oct 2001 B1
6314402 Monaco et al. Nov 2001 B1
6314454 Wang et al. Nov 2001 B1
6323894 Katz Nov 2001 B1
6353663 Stevens et al. Mar 2002 B1
6381325 Hanson Apr 2002 B1
6385583 Ladd et al. May 2002 B1
6389278 Singh May 2002 B1
6389541 Patterson May 2002 B1
6393117 Trell May 2002 B1
6393412 Deep May 2002 B1
6400806 Uppaluru Jun 2002 B1
6404864 Evslin et al. Jun 2002 B1
6404877 Bolduc et al. Jun 2002 B1
6404884 Marwell et al. Jun 2002 B1
6408278 Carney et al. Jun 2002 B1
6430276 Bouvier et al. Aug 2002 B1
6434527 Horvitz Aug 2002 B1
6445694 Swartz Sep 2002 B1
6461162 Reitman et al. Oct 2002 B1
6463136 Malik Oct 2002 B1
6470079 Benson Oct 2002 B1
6470317 Ladd et al. Oct 2002 B1
6470338 Rizzo et al. Oct 2002 B1
6477246 Dolan et al. Nov 2002 B1
6484148 Boyd Nov 2002 B1
6493437 Olshansky Dec 2002 B1
6493671 Ladd et al. Dec 2002 B1
6493673 Ladd et al. Dec 2002 B1
6504920 Okon et al. Jan 2003 B1
6510417 Woods et al. Jan 2003 B1
6513013 Stephanou Jan 2003 B1
6519570 Faber et al. Feb 2003 B1
6523010 Lauffer Feb 2003 B2
6529878 De Rafael et al. Mar 2003 B2
6529946 Yokono et al. Mar 2003 B2
6539359 Ladd et al. Mar 2003 B1
6542732 Khazaka et al. Apr 2003 B1
6546372 Lauffer Apr 2003 B2
6549889 Lauffer Apr 2003 B2
6560576 Cohen et al. May 2003 B1
6563915 Salimando May 2003 B1
6570870 Berstis May 2003 B1
6571279 Herz et al. May 2003 B1
6606376 Trell Aug 2003 B1
6609106 Robertson Aug 2003 B1
6611501 Owen et al. Aug 2003 B1
6625595 Anderson et al. Sep 2003 B1
6628760 Mirashrafi et al. Sep 2003 B2
6636590 Jacob et al. Oct 2003 B1
6658389 Alpdemir Dec 2003 B1
6668286 Bateman et al. Dec 2003 B2
6691093 Shell Feb 2004 B2
6704403 Lurie et al. Mar 2004 B2
6731625 Eastep et al. May 2004 B1
6732183 Graham May 2004 B1
6735588 Kim et al. May 2004 B2
6741691 Ritter et al. May 2004 B1
6757364 Newkirk Jun 2004 B2
6769020 Miyazaki et al. Jul 2004 B2
6771640 Karamchedu et al. Aug 2004 B2
6771760 Vortman et al. Aug 2004 B1
6775359 Ron et al. Aug 2004 B1
6778652 Gaus et al. Aug 2004 B2
6798753 Doganata et al. Sep 2004 B1
6801899 Lauffer Oct 2004 B2
6807532 Kolls Oct 2004 B1
6807571 Hatano et al. Oct 2004 B2
6826194 Vered et al. Nov 2004 B1
6836225 Lee et al. Dec 2004 B2
6839737 Friskel Jan 2005 B1
6847992 Haitsuka et al. Jan 2005 B1
6865540 Faber et al. Mar 2005 B1
6898435 Milman May 2005 B2
6910035 Hoekman et al. Jun 2005 B2
6910159 Phillips et al. Jun 2005 B2
6968174 Trandal et al. Nov 2005 B1
6990183 Holland et al. Jan 2006 B2
6999478 D'Angelo Feb 2006 B2
7013280 Davis et al. Mar 2006 B2
7031697 Yang et al. Apr 2006 B2
7032030 Condignotto Apr 2006 B1
7035468 Yogeshwar et al. Apr 2006 B2
7035634 Mead et al. Apr 2006 B2
7046782 Miller May 2006 B2
7092901 Davis et al. Aug 2006 B2
7103010 Melideo Sep 2006 B2
7181415 Blaser et al. Feb 2007 B2
7200413 Montemer Apr 2007 B2
7212615 Wolmuth May 2007 B2
7224781 Jacob et al. May 2007 B2
7240110 Haitsuka et al. Jul 2007 B2
7240290 Melideo Jul 2007 B2
7249045 Lauffer Jul 2007 B2
7289612 Lurie et al. Oct 2007 B2
7289623 Lurie Oct 2007 B2
7315837 Sloan et al. Jan 2008 B2
7359498 Faber et al. Apr 2008 B2
7366683 Altberg et al. Apr 2008 B2
7380139 Tagawa et al. May 2008 B2
7412043 Horvath et al. Aug 2008 B2
7428497 Agarwal et al. Sep 2008 B2
7433459 Reding et al. Oct 2008 B2
7434169 Quillen et al. Oct 2008 B2
7434175 Melideo Oct 2008 B2
7464045 McSherry Dec 2008 B2
7475149 Jacob Jan 2009 B2
7496357 Dunn et al. Feb 2009 B2
7558578 De Beer Jul 2009 B1
7630919 Obrecht Dec 2009 B1
7729938 Lauffer Jun 2010 B2
8027878 Wong et al. Sep 2011 B2
8396735 Lauffer Mar 2013 B2
8538768 Agarwal et al. Sep 2013 B2
20010025274 Zehr et al. Sep 2001 A1
20010026609 Weinstein et al. Oct 2001 A1
20010027481 Whyel Oct 2001 A1
20010029482 Tealdi et al. Oct 2001 A1
20010032247 Kanaya Oct 2001 A1
20010037283 Mullaney Nov 2001 A1
20010044751 Pugliese et al. Nov 2001 A1
20010048737 Goldberg et al. Dec 2001 A1
20020003867 Rothschild et al. Jan 2002 A1
20020010608 Faber et al. Jan 2002 A1
20020010616 Itzhaki Jan 2002 A1
20020024948 Pendse Feb 2002 A1
20020038233 Shubov et al. Mar 2002 A1
20020038293 Seiden Mar 2002 A1
20020059082 Moczygemba May 2002 A1
20020069105 do Rosario Botelho et al. Jun 2002 A1
20020071423 Mirashrafi et al. Jun 2002 A1
20020072974 Pugliese et al. Jun 2002 A1
20020073207 Widger et al. Jun 2002 A1
20020095331 Osman et al. Jul 2002 A1
20020095359 Mangetsu Jul 2002 A1
20020107697 Jensen Aug 2002 A1
20020112005 Namias Aug 2002 A1
20020116266 Marshall Aug 2002 A1
20020120554 Vega Aug 2002 A1
20020133402 Faber et al. Sep 2002 A1
20020161646 Gailey et al. Oct 2002 A1
20020169836 Hood et al. Nov 2002 A1
20020191762 Benson Dec 2002 A1
20020193094 Lawless et al. Dec 2002 A1
20020193135 Nakano Dec 2002 A1
20030005126 Schwartz et al. Jan 2003 A1
20030041255 Chen et al. Feb 2003 A1
20030046161 Kamanger et al. Mar 2003 A1
20030055984 Shimakawa et al. Mar 2003 A1
20030061094 Banerjee et al. Mar 2003 A1
20030112944 Brown et al. Jun 2003 A1
20030115089 Lurie Jun 2003 A1
20030126205 Lurie Jul 2003 A1
20030220866 Pisaris-Henderson et al. Nov 2003 A1
20030223565 Montemer Dec 2003 A1
20030225682 Montemer Dec 2003 A1
20040006511 Montemer Jan 2004 A1
20040010518 Montemer Jan 2004 A1
20040024846 Randall et al. Feb 2004 A1
20040083133 Nicholas et al. Apr 2004 A1
20040162757 Pisaris-Henderson et al. Aug 2004 A1
20040193740 Kasmirsky et al. Sep 2004 A1
20040196833 Dahan et al. Oct 2004 A1
20040199494 Bhatt Oct 2004 A1
20040234049 Melideo Nov 2004 A1
20040254859 Aslanian Dec 2004 A1
20040260413 Melideo Dec 2004 A1
20050048961 Ribaudo et al. Mar 2005 A1
20050065811 Chu et al. Mar 2005 A1
20050071509 Faber et al. Mar 2005 A1
20050080878 Cunningham et al. Apr 2005 A1
20050086104 McFadden Apr 2005 A1
20050114210 Faber et al. May 2005 A1
20050119957 Faber et al. Jun 2005 A1
20050165666 Wong et al. Jul 2005 A1
20050203799 Faber et al. Sep 2005 A1
20050209874 Rossini Sep 2005 A1
20050216341 Agarwal et al. Sep 2005 A1
20050222908 Altberg et al. Oct 2005 A1
20050251445 Wong et al. Nov 2005 A1
20060031516 Kumer Feb 2006 A1
20060075055 Littlefield Apr 2006 A1
20060095343 Clarke et al. May 2006 A1
20060184378 Agarwal et al. Aug 2006 A1
20060259365 Agarwal et al. Nov 2006 A1
20070100799 Rose et al. May 2007 A1
20070162296 Altberg et al. Jul 2007 A1
20070179867 Glazer et al. Aug 2007 A1
20080263446 Altberg et al. Oct 2008 A1
20090006174 Lauffer Jan 2009 A1
20090067599 Agarwal et al. Mar 2009 A1
20100208028 Lauffer Aug 2010 A1
20130182834 Lauffer Jul 2013 A1
Foreign Referenced Citations (27)
Number Date Country
699785 May 1995 AU
1489529 Dec 2004 EP
2329046 Mar 1999 GB
09233441 Sep 1997 JP
09319812 Dec 1997 JP
2002007887 Jan 2002 JP
9705733 Feb 1997 WO
9802835 Jan 1998 WO
9804061 Jan 1998 WO
9813765 Apr 1998 WO
9838558 Sep 1998 WO
9847295 Oct 1998 WO
0057326 Sep 2000 WO
0073960 Dec 2000 WO
0101217 Jan 2001 WO
0120518 Mar 2001 WO
0127825 Apr 2001 WO
0128141 Apr 2001 WO
0144973 Jun 2001 WO
0176173 Oct 2001 WO
0184415 Nov 2001 WO
0213110 Feb 2002 WO
0237470 May 2002 WO
0244870 Jun 2002 WO
02088880 Nov 2002 WO
03025789 Mar 2003 WO
2005109287 Nov 2005 WO
Non-Patent Literature Citations (86)
Entry
ADS-Click, “ADA-click Adds Skype-Based Pay-Per-Call Advertising Capabilities to Its Private-Labeled Solution, which will be Unveiled at ad:tech New York,” Market Wire, Oct. 10, 2005.
Greenberg, Ken, “Jambo Launches to Connect People and Businesses from the Internet to the Phone,” Market Wire, May 3, 2005.
Greenberg, Ken, “Jambo Names Netzero Co-founder Stacy Haitsuka to New Post of Chief Information Officer,” Business Wire, Jul. 5, 2005.
Greenberg, Ken, “Jambo Receives $5 Million in Financing from Kline Hawkes & Co., Westlake Venture Partners, Others,” Business Wire, Oct. 17, 2005.
Jambo, “Welcome to Jambo—The Leader in Pay-Per-Call Solutions,” company information retrieved from http://www.jambo.com, available at least by Oct. 17, 2005.
Jingle Networks, Inc., “1-800-FREE411 Provides Two Great Opportunities to Acquire New Customers,” available at least by Oct. 20, 2005.
Jingle Networks, Inc., “Introducing 1-800 FREE411: First Nationwide Free Telephone Directory Assistance Service,” Sep. 20, 2005.
“Applying Technology News,” Accounting Technology, p. 14, Feb./Mar. 1997.
“TriNet's ‘Help Me, I'm Stuck’ Internet Voice Button Services Pushes Web Pages to Online Users,” Business Wire, Mar. 25, 1998.
Allexperts.com, company information retrieved from http://www.allexperts.com, available at least by Apr. 9, 2000.
Answers.com, company information retrieved from http://www.answers.com, available at least by Aug. 8, 2000.
Dalton, Gregory, “Rent-An-Expert on the Web,” Information Week, p. 75, Sep. 6, 1999.
Exp.com, Inc., company information retrieved from http://www.exp.com, available at least by Sep. 20, 2000.
Expertcity.com, “About Us,” company information retrieved from http://www.expertcity.com, available at least by Apr. 9, 2000.
Experts Exchange, Inc., company information retrieved from http://www.experts-exchange.com, available at least by Apr. 9, 2000.
University of Texas—Austin, information on the Electronic Emissary Project retrieved at www.tapr.org/emissary, available at least by Apr. 9, 2000.
Wasik, Joann M., “Information for Sale: Commercial Digital Reference and AskA Services,” Virtual Reference Desk, http://www.vrd.org/AskA/commAskA.html, Sep. 20, 1999.
Wieland, Heidi et al., “Expertcity.com Launches Premier Online Marketplace for Expert Services,” PR Newswire, Aug. 30, 1999.
EP Application No. 05745756.6, Examination Report, Jan. 28, 2010.
International Application No. PCT/US05/12061, Written Opinion and International Search Report, Nov. 17, 2006.
International Application No. PCT/US05/15645, Written Opinion and International Search Report, Feb. 5, 2007.
“Connecting to On-Line Car Shoppers: Auto Sellers Use Netcall Internet Call-Button Technology to Turn ‘Clicks’ into Interactive Sales,” Business Wire, p. 4089, Jul. 19, 1999.
“Keen.com raises $60 Million from Prestigious Investors and Strategic Partners Just 60 Days After Launch of Its Live Answer Community,” Business Wire, Jan. 11, 2000.
“NetCall Internet Call Buttons Enhance E-Commerce Customer Service and Sales,” PR Newswire, p. 7431, Aug. 9, 1999.
“Sell and Buy Advice Online,” The Ottawa Citizen, p. D7, Nov. 29, 1999.
Addeo, E.J. et al., “An Experimental Multi-Media Bridging System,” Frontiers in Computer Communications Technology, Computer Communications Review, vol. 17, No. 5, pp. 236-242, Aug. 11-13, 1987.
Alexander, Kelly King et al., “1-900 (Pay-For-Information Phone Services),” Baton Rouge Business Report, vol. 9, No. 20, pp. 23-27, Jul. 30, 1991.
Angelo, Simon, “SurfBrains.com: Brains Online Save Time & Money,” M2 Presswire, Jul. 11, 2000.
Asthana, Abhaya et al., “A Small Domain Communications System for Personalized Shopping Assistance,” IEEE International Conference on Personal Wireless Communications, Publication No. 0-7803-1996-6/94, pp. 199-203, Aug. 18, 1994.
Bazini, Liz, “UpSnap Selects LookSmart to Sell Premium Listings on Free 411 Service for Text-Enabled Cell Phones,” Nov. 4, 2004.
Becker, Ralph, “ISDN Tutorial: Interfaces,” retrieved from http://www.ralphb.net/ISDN/ifaces.html, available at least by Apr. 21, 2000.
Becker, Ralph, “ISDN Tutorial: Definitions,” retrieved from http://www.ralphb.net/ISDN/defs.html, available at least by Apr. 21, 2000.
Broad, Doug et al., “Lucent Technology and Netscape Team to Deliver Lucent Ecommerce Solutions,” Business Wire, Sep. 23, 1998.
Chimiak, William H. et al., “Multimedia Collaborative Remote Consultation Tools via Gigabit WAN in Teleradiology,” IEEE 13th Annual International Phoenix Conference on Computers and Communications, pp. 417-423, Apr. 12-15, 1994.
Clark, Don, “Keen.com Plans Web Service Allowing Customers to Hold Private Phone Chats,” Wall Street Journal, Nov. 8, 1999.
Collett, Stacey et al., “Why Online Browsers Don't Become Buyers,” Computerworld, vol. 33, No. 48, p. 14, Nov. 29, 1999.
Davey, Tom, “Wheeling and Dealing Online,” PC Week, vol. 13, No. 45, pp. 1, 129, Nov. 11, 1996.
De Lasser, Eleena, “When Business Plan and Real World Clash,” Wall Street Journal, p. B1, Jun. 1999.
Drescher, Bob et al., “Aspect Telecommunications Integrates the Web into the Call Center to Deliver New Level of Customer Service,” Business Wire, Aug. 5, 1996.
Dyson, Esther, “Information, Bid and Asked,” Forbes, p. 92, Aug. 20, 1990.
EK, Brian, “Walker Digital Issued Landmark U.S. Patent No. 5,862,223 for Global Internet Marketplace for Experts”, Business Wire, Jan. 26, 1999.
Ellis, James E., “For Telesphere's Clients, Dial 1-900 TUF LUCK,” Business Week, pp. 88-89, Sep. 9, 1991.
European Patent Office, Search Report for European Patent Application No. EP04253389.3, Sep. 17, 2004.
Green Digital Media, Inc., Big Green Blog: Jan. 2005 Archives, Jan. 28-31, 2005.
Greenblatt, Ellen, “Have You Ever Wondered. . . . ,” Datamation, p. 126, Oct. 1997.
Griffiths, J.W.R. et al., “Multimedia Communication in a Medical Environment,” Singapore International Conference on Networks, pp. 166-171, Sep. 5, 1991.
Hase, Masahiko et al., “Advanced Videophone System Using Synchronized Video Filing Equipment,” NTT Review, vol. 3, No. 4, pp. 29-36, Jul. 1991.
Healey, John, “From A-Z: You Can Sell Advice Online,” San Jose Mercury News, retrieved from http://www.mercurycenter.com on Oct. 24, 2001.
Herman, Edith, “U.S. Courts to Launch First Federal 900 Service,” Federal Computer Week, pp. 8, 10, Sep. 28, 1992.
Herzberg, Amir et al., “MiniPay: Charging Per Click on the Web,” Computer Networks and ISDN Systems, vol. 29, pp. 939-951, Sep. 1997.
Hodgson, Cynthia, “Online Expert Databases & Services,” Econtent, pp. 48-53, Dec. 1999.
Information Markets Corp., company information retrieved from http://www.infomarkets.com, available at least by Aug. 8, 2000.
Ingenio, Inc., “Keen: Your Personal Advisor,” retrieved from http://www.keen.com, available at least by Feb. 4, 2006.
Ingenio, Inc., Press Archives for 2004, retrieved from http://www.ingenio.com on Feb. 21, 2006.
About intellectexchange.com, Inc., company information retrieved from http://www.intellectexchange.com/About.asp, pp. 1-12, available at least by Aug. 8, 2000.
International Application No. PCT/US00/06849, International Search Report, May 16, 2000.
International Application No. PCT/US00/10730, International Search Report, Jan. 3, 2001.
International Application No. PCT/US01/48284, International Search Report, May 13, 2002.
Jarvie, Barbara, “Company Devoted to Hot-Line Support,” Computer Reseller News, p. 48, Oct. 21, 1991.
Kabeya, Kiyoshi et al., “A New Teleconsultation Terminal System Using ISDN,” NTT Review, vol. 3, No. 4, pp. 37-43, Jul. 1991.
Kanellos, Michael, “Web Watch: Do You Want to Know the Meaning of Life?,” Computer Reseller News, pp. 72-74, Mar. 3, 1997.
Keen.com, “Keen.com Launches First Live Answer Community, Connects People with Information to Share Over Their Standard Telephone,” company press release, Nov. 8, 1999.
Keen.com, “The Most Popular U.S. Question and Answer Marketplace Goes International 90 Days After Launch,” PR Newswire, Mar. 13, 2000.
Keen.com, company information retrieved from http://www.keen.com, available at least by 1999.
Kempner, Matt, “SWM Seeking—the Net Rather than Newspapers,” Atlanta Journal the Atlanta Constitution, p. Q1, Sep. 10, 2000.
Kuehn, Richard A., “The Voice of Technology,” Credit World, pp. 20-23, Jul. 1994.
Littleton, Linda, “HDD: A Helpdesk Database,” Proceedings of the ACM SIGUCCS User Services Conference XXII, pp. 205-210, Oct. 16-19, 1994.
Ludwig, L.F. et al., “Laboratory for Emulation and Study of Integrated and Coordinated Media Communication,” Conference on Office Information Systems, pp. 283-291, Mar. 23-25, 1988.
Melideo, John, U.S. Appl. No. 60/471,535 entitled “HyperDial,” filed May 19, 2003.
Menn, Joseph, “An Expert? There's Now a Home for You on the Internet,” Los Angeles Times, retrieved from http://www.denverpost.com on Oct. 24, 2001.
Mercalli, Franco et al., “The ESSAI Teleshopping System: An Example of a Broadband Multimedia Application,” IEEE Global Telecommunications Conference, pp. 572-576, Nov. 28, 1994.
Moore, Michael et al., “USA Global Link Brings Interactively to Internet Shopping,” Business Wire, Oct. 7, 1998.
Ott, Chris, “Making Good on the Information Economy,” Denver Business Journal, vol. 51, No. 17, p. 27A, Dec. 17, 1999.
Pelline, Jeff, “Net Firm to Connect Users by Phone,” CNET News.com, Nov. 8, 1999.
Qcircuit.com, company information retrieved from http://www.qcircuit.com, available at least by Aug. 8, 2000.
Reding, Craig et al., U.S. Appl. No. 09/596,466 entitled “Methods and Apparatus for Providing Telephone Support for Internet Sales,” filed Jun. 19, 2000.
Robinson, John, “Attachmate Ready to Answer 'Net Questions,” Network World, p. 37, Apr. 8, 1996.
Rogers, Michael et al., “Experts Abound at New Web Sites,” Library Journal, pp. 22-24, Mar. 1, 2000.
Sairamesh, Jakka et al., “NetBazaar: Networked Electronic Markets for Trading Computation and Information Services,” Second European Conference on Research and Advanced Technology for Digital Libraries, pp. 839-856, Sep. 21, 1998.
Tehrani, Rich, “e-Rip Van Winkle and the 60-second Nap,” Call Center Solutions, vol. 18, No. 2, pp. 16-18, Aug. 1999.
Telecommunications Buyers Guide and Directory, Editor & Publisher, pp. 29TC-38TC, Feb. 12, 1994.
Turco, Franco, “Legislation is Planned to Hem in ‘Scooplines’ Covers Revealing Rates, Blocking Service,” Arizona Republic, Final Edition, Valley & State Section, p. B8, Jan. 16, 1988.
U.S. District Court, Southern District of New York, Keen.com, Inc. v. InfoRocket.com, Inc., Preliminary Injunction Hearing, pp. 286-289, Jan. 8, 2002.
U.S. District Court, Southern District of New York, Keen.com, Inc. v. InfoRocket.com, Inc.: Complaint for Patent Infringement, Trade Dress Infringement and Unfair Competition; Demand for Jury Trial, Aug. 31, 2001.
Wagner, Mary, “Caring for Customers: Real-Time Text Chat and Telephony Provide Personalized Customer Support and Turn Queries into Sales Leads,” Internet World Media, vol. 5, iss. 28, p. 30, Sep. 1, 1999.
Wood, Christina, “Hidden Cost of Tech Support,” PC World, pp. 143-152, 156, May 1995.
Related Publications (1)
Number Date Country
20130336471 A1 Dec 2013 US
Continuations (1)
Number Date Country
Parent 11123566 May 2005 US
Child 13973912 US