A portion of the disclosure of this patent document contains material which is subject to copyright protection. The copyright owner has no objection to the facsimile reproduction by anyone of the patent document or the patent disclosure, as it appears in the United States Patent and Trademark Office patent file or records, but otherwise reserves all copyright rights whatsoever.
The present invention relates generally to the field of advertising, and more specifically, to advertising management systems and methods in which a new pricing methodology is employed whereby advertising and content categorized as override may be overridden by an advertiser desiring to pay a premium.
Advertisements, also referred to as commercials, are played in between subject portions of a television or radio program, and are the primary source of revenue for television and radio networks. Typically ten to ninety seconds in length, advertisements are grouped together as pre-selected breaks in the broadcast of a program, typically occurring from every few to every fifteen minutes of programming. The number of advertisements and the timing between the placement of the advertisements is dependent on the type of program (e.g., sporting event, sitcom, news program, or movie) and the format of the program (e.g., live or pre-recorded). Television and radio programming, for example, typically include approximately sixteen minutes of advertisements during every hour of programming. Many advertisers use this time as their primary avenue for promoting products, services, and events to consumers.
Advertising rates are generally based on the time slot, popularity of a program, and length of the advertisement. A higher rate is charged for a program with a large audience, due to the theory that more viewers, or listeners, will result in more potential customers receiving the advertisement, which is likely to result in more revenue generated for an advertiser. During the Super Bowl™, for example, a thirty second time spot may cost in the millions of dollars.
Advertisements are not limited to radio and television. In the age of computers, some form of advertisement is displayed on virtually every web-page. Conventional Internet advertising may also be in the form of “pop-up” windows, which are programmed to “pop-up” in their own separate window when a certain web-site is triggered, or opened. Many Internet service providers and search-engine companies are able to offer free services to consumers because of the large amounts of advertising dollars that they receive from advertisers. Like television and radio, the more popular a particular web-site is, the more that it is accessed by consumers, and the more the owner may charge for advertising space.
Advertising is generally more effective when products and services reach consumers that have an interest in the particular product or service. This is referred to as “targeted advertising,” in which an advertiser identifies a group of people as being those that are likely to purchase what is being advertised, and providing the most favorable situation in which the advertisement will reach that pre-determined group of consumers. As an example, it is generally known that a lot of men like sports. It is also generally known that a lot of men drink beer. Therefore, it makes economic sense for an advertiser to run a beer advertisement during sporting events, when it is more likely that men will be watching television. As stated above, advertisement time during the Super Bowl™ is very expensive, and although very expensive, it is common to see a large number of beer commercials during the Super Bowl™. This is normally because advertisers feel that the large premiums paid for time slots during the game will be made-up for by the amount of revenue that the commercial will generate for the company through beer sales.
In determining whether a program, or web-page, may be appropriate for a particular advertisement, advertisers typically consider whether the program attracts large numbers of viewers who are of the same age group, gender, income bracket, and who have similar interests and hobbies with those who are most likely to purchase the product being advertised. Selecting an advertisement and advertising slot in this manner, increases the likelihood that viewers who watch the advertisement will be interested viewers.
Broadcasting networks and advertisers are able to gauge which demographic groups are watching which programs using conventional market research tools. For example, the AC Nielsen™ ratings system tracks television viewing activities by sampling a plurality of households, and estimating the number of viewers of particular programs using the viewing activity data. Advertisers also use market research companies which conduct focus groups that study the effectiveness of different types of television advertisements. These market research tools assist advertisers in creating advertisements, and selecting appropriate time slots in which to run them. To help ensure that viewers watch a particular advertisement, advertisers use techniques that help to grab a viewers attention, such as visual stimulus, catchy slogans, and jingles.
To gauge the effectiveness of their spending, advertisers have long sought information related to potential consumer viewing patterns. There are several conventional devices and techniques that exist for gathering such information. For example, U.S. Pat. No. 4,258,386 issued to Cheung discloses “an apparatus for television audience analysis comprising means for monitoring a television receiver, means responsive to a monitored signal for storing information representative of channel identification and of the time at which a channel is selected and at which the selection of a channel is terminated, and means for reading the stored information periodically.”
As another example, U.S. Pat. No. 4,556,030 issued to Nickerson, et al., discloses “a data storage and transmission system for accumulating and transmitting data from a plurality of remote T.V. panelist locations to a central location. Each remote unit includes a microprocessor, a control memory, and a data store memory. The control memory stores control information for the remote unit, which may include dynamic allocation information. The data store memory is event driven and stores data as to television channel selection and times thereof, and can store viewer reaction data and the like. At a pre-selected time, each remote unit initiates a telephone call to a central location and identifies itself. Upon successful telephone connection between a remote unit and the central location, any data such as viewer habit and/or reaction data and the like contained in the data store memory is transmitted over the telephone line to the central location.”
Other conventional systems and methods provide somewhat more use data than only channel numbers viewed and the time of viewing, such as which products panelists purchase. U.S. Pat. No. 4,816,904 issued to McKenna, et al., discloses “a data gathering system including a plurality of remote units which are controlled from a central location. Each of the remote units are attached to a television receiver which is generally, but not necessarily, attached to a cable system. Each of the remote units may function to determine which of several TV modes is in use as well as to store TV channel selector data, data from an optical input device, and/or data input by viewers representative of the composition of the viewing audience. The data is stored for either later collection by a portable data collector, or for direct transmission via telephone to the central location. A video message for a TV viewer, such as a survey, may be transmitted from the central location and stored at the remote units, for later display on the TV receiver associated with the remote units. The substitution of alternate programming information may also be achieved by the central control point on selected of the remote units.”
Conventionally, panelist monitoring may be used to gauge the effectiveness of advertising on a selected group of panelists. Nevertheless, while panelist monitoring systems like those described above provide somewhat more monitoring data than just TV tuning data, they do so only for limited groups. For example, when more data is gathered (like purchase information), it is done only for the panelist groups, rather than for subscribers of the entire system.
Conventional systems typically capture ratings information that identifies which television shows are viewed, rather than whether the subscriber also viewed the commercials displayed during those shows. What is important to an advertiser is that potential consumers are interested in an advertisement enough to sit through its duration. There is a great deal of money invested in advertising, with the hopes that it will return even greater profits.
Conventional advertising management systems comprise what is generally referred to as a “locked” advertisement delivery system. In this conventional system, time slots are pre-purchased by advertisers. The rates for these time slots are based upon the demand for the particular time slot, as described above. When time slots are purchased, they are grouped together and run as a commercial break during a program, also as described above. When a time slot is purchased, it is no longer available to a second advertiser that may be interested in purchasing the same time slot, but who did not purchase it first. Conventional advertising management systems are basically first-come-first-serve. There may be bidding for a particular slot, but once a rate is agreed to by the advertising slot provider, that time slot is set.
Conventional advertising methods include several drawbacks, such as excluding potential consumers, and including viewers that have no desire to purchase the product or service. Advertisers must continuously evaluate advertising mediums and time slots. When selecting time slots, advertisers take into account which times of the day they are most likely to find large volumes of viewers, whether or not those viewers are of a desired demographic, and which programs are most appropriate to place advertisements into.
What is needed are novel systems and methods that result in more effectively spent advertising dollars for advertisers, which results in increased profit margins for the advertisers and also for network media providers. What is needed are novel systems and methods which result in flexibility and options for advertisers in selecting advertising time slots.
In a preferred embodiment, the present invention provides a pricing methodology whereby scheduled advertising content broadcast to potential consumers may be overridden and replaced by advertising content from an advertiser paying a premium. The method includes a first advertiser occupying an advertisement time slot with a first advertisement, categorizing the first advertisement as an overrideable advertisement or a non-overrideable advertisement, receiving a request from a second advertiser to replace the first advertisement with a second advertisement, and if it is determined that the first advertisement is categorized as an appropriate override advertisement, replacing the first advertisement with the second advertisement. The second advertisement is then broadcast to consumers in place of the first advertisement. Advertisements are broadcast to potential consumers via a broadcast transmission, wherein the broadcast transmission may include a television broadcast, a radio broadcast, and a broadcast sent over the Internet and received on a personal computer.
Various pricing structures may be employed. In one embodiment, the method further involves pricing an overrideable advertisement at a lower price than a non-overrideable advertisement, and wherein a premium is paid to replace the first advertisement with the second advertisement.
A request to replace the first advertisement with the second advertisement may be based upon data obtained using marketing tools and programming ratings collection and analysis systems to identify most-valuable and least-valuable viewers. The ratings collection and analysis systems may track program viewing activities by sampling a plurality of households and estimating the number of viewers of the programs using viewing activity data, focus groups that study the effectiveness of different types advertisements, and product sales reports.
In an alternative embodiment, the advertisement management method further includes receiving requests, and processing, storing, managing, and inserting advertisements using an interactive server. The interactive server compares the second and/or first advertisement with a plurality of pre-determined criteria, and if the advertisement meets a pre-selected number of the plurality of criteria, the interactive server may replace the first advertisement with the second advertisement.
In a further embodiment, the present invention provides a system for managing advertisement programming including a first advertisement provided by a first advertiser, a second advertisement provided by a second advertiser, and an interactive server of a network content provider, wherein the interactive server is operable for replacing the first advertisement with the second advertisement if a plurality of pre-determined criteria are met.
Embodiments of the present invention provide various advantages, such as novel advertisement pricing methodologies, advertisement time slot purchasing options, and targeted advertising methodologies. Embodiments of the present invention provide methods of effective advertising management and targeting that ensure that a particular demographic group receives the most appropriate materials.
Additional objects, advantages, and novel features of the invention will be set forth in part in the description which follows, and in part will become more apparent to those skilled in the art upon examination of the following, or may be learned by practice of the invention.
As required, detailed embodiments of the present invention are disclosed herein, however, it is to be understood that the disclosed embodiments are merely exemplary of the invention that may be embodied in various and alternative forms. Specific structural and functional details disclosed herein are not to be interpreted as limiting, but merely as a basis for the claims as a representative basis for teaching one skilled in the art to variously employ the present invention. Conventional hardware and systems are shown in block diagram form and process steps are shown in flowcharts.
Referring now to the drawings, in which like numerals indicate like elements throughout the several figures,
In one embodiment, a first advertiser 20 has a first advertisement already inserted into a scheduled broadcast to be transmitted in the future. The first advertisement has been categorized as an override advertisement, as discussed above. A second advertiser 22 has a second advertisement that is not yet inserted into any broadcast transmission, but desires to insert the second advertisement into the same broadcast transmission as the first advertiser 20. A third advertiser 24 has a third advertisement already inserted into the same broadcast transmission as the first advertiser 20. The third advertisement has been categorized as a non-override advertisement, as will be discussed below. All three advertisers 20, 22, 24 are in communication with a network content provider 26 that controls the broadcast and manages the advertisements.
The network content provider 26, responsible for providing a network service in which advertisements are broadcast to potential consumers, operates and maintains a system equipped to receive signals and other content from the advertisers 20, 22, 24. The network content provider 26 may be any original or secondary source of network programming including, for example, television, radio, Internet, or like digital environment. Content providers 26 may broadcast directly to potential consumers, or alternatively, may broadcast to a provider that receives and retransmits a broadcast to potential consumers. The advertisers 20, 22, 24 furnish content originated by them to the network content provider 26 that incorporates that content into the network content provider's 26 broadcast.
The system of
Signals containing requests and programming content furnished by the advertisers 20, 22, 24 are sent via suitable communication paths to content provider 26 and ultimately to the interactive server 28 comprising a processor for processing information. A provisioning technique available to an advertiser 22 with Internet access includes a Web-based form of entry of advertisement information. Using such a technique, an advertiser 22 using a browser running on a computer with an Internet connection accesses the interactive server and inputs requests and receives responses. Requests may include specific information relating to a particular advertisement or time slot, such as override and non-override categorization, and the override option. Advertisement schedules, characteristics, identifiers, and pricing may be stored in a database 30 of the interactive server 28. Each individual advertisement may have an associated identifier 32 that is used to identify the specific advertisement. The identifier 32 may include descriptive information such as the time length of the advertisement and file size. When a signal is received by the interactive server 28, the interactive server 28 identifies the selected advertisement and may insert it into a program time slot using if a series of checkpoints are completed and approved, as discussed above.
The network content provider 26 is able to insert the advertisement, identified by the interactive server 28 using its identifier, into the broadcast transmission 34. The primary functionality of the network content provider 26 is provided by the interactive server 28, which stores and manages the advertisements provided by the advertisers, and which responds to requests from the advertisers.
In one embodiment of the present invention, a provisioning method is provided in which an advertiser may access the interactive server 28 and override a prescheduled advertisement based on monitoring and marketing tools. The monitoring and marketing tools provide data to an advertiser which aid in selecting the most desirable time slot for each particular advertisement based on the data. Using data gathered regarding viewing habits, such as set top boxes use for monitoring viewing habits and collecting information, to distinguish more-valuable from less-valuable viewers, along with override and non-override categories, content and advertisements may be matched with more-valuable and less-valuable viewer subsets.
The present invention establishes a pricing methodology whereby an advertisement categorized as override may be overridden, or replaced. When providing an advertisement to a network provider for broadcast, an advertiser has the option of categorizing the advertisement as either an override or a non-override advertisement (Block 42), and paying a corresponding fee based on the category chosen. In an alternative embodiment, a network provider may offer time slots that are pre-categorized as either override or non-override, and an advertiser may purchase a time slot based upon the desired category. Overrideable is hereby defined as capable of being replaced. Non-override is hereby defined as not capable of being replaced. An overrideable advertisement is an advertisement that may be broadcast, or, may be replaced by a different advertisement, either from the same or a different advertiser. A non-overrideable advertisement is an advertisement that will be broadcast, and is not capable of being replaced.
In the preferred embodiment, an advertisement, or time slot, categorized as override is priced at a lower cost than an advertisement, or time slot, categorized as non-override, for the reason that an override advertisement may not be broadcast if replaced. An advertiser may opt to purchase this advertising option due to its lower price. An advertiser may also opt to purchase the option based upon information that may lead the advertiser to believe that their advertisement will most likely not be overridden. The information may include such items as the time of day, the day of the week, the program that the advertisement will be shown during, time slot demand, marketing tools, and previous advertiser replacements. For example, if an advertiser has a limited advertising budget, the advertiser may opt to categorize his/her advertisement as an override advertisement based upon time slot demand and the past history of replacements made during the desired time slot. In another example, if an advertiser has a very limited potential consumer audience that also coincides with a low-demand time slot, the advertiser may choose the lower priced overrideable option to save money.
In the preferred embodiment, an advertisement, or time slot, categorized as non-override is priced at a higher cost than an advertisement, or time slot, categorized as override, for the reason that a non-override advertisement will be broadcast and can not be replaced. An advertiser may opt to purchase this advertising option due to demand and projected audience value. An advertiser may also opt to purchase the option based upon information that may lead the advertiser to believe that the greater cost will lead to greater revenues. The information may include such items as the time of day, the day of the week, the program that the advertisement will be shown during, time slot demand, marketing tools, and previous advertiser replacements.
In the preferred embodiment, an advertiser wishing to override the first advertisement with the second advertisement may be required to pay a premium. The amount of the premium may vary based upon the time slot desired and the characteristics and content of the subject matter surrounding the commercial break. For example, desired override advertising time during a live one-time championship sporting event may be priced at a much higher amount than override advertising time during a regularly scheduled program due to the special nature of the program.
Network providers, such as television and radio, sell advertising space based on the length of time of an advertisement, the day of the week, the time of day, advertiser demand, and the type of program the advertisement will be played during. Most television viewers watch television during the prime-time viewing hours of about 7 pm to about 10 pm, and network providers, therefore, charge higher rates during these viewing hours due to advertiser demand. Internet network providers may sell advertising time based on file size and type, and may also set fees based on the time of day, the day of the week, and specific programs.
Content delivered to a network content provider by an advertiser includes advertisements relating to products, services, and events. The advertisements, in one example referred to as commercials, are played in between the subject potions of the network content providers program. Referring to television and radio broadcasts, advertisements range from about ten to about ninety seconds in length, and are grouped together as pre-selected breaks in the broadcast of the program, occurring every few minutes of programming. The number of advertisements and the timing between the placement of the advertisements is dependent upon the type of program (e.g., sporting event, sitcom, news program, or movie) and the format of the program (e.g., live or pre-recorded). Television and radio programming, for example, typically include approximately sixteen minutes of advertisements during every hour of programming.
The method further includes a second advertiser, having a second advertisement, desiring the time slot occupied by the already scheduled first advertisement. The second advertiser then contacts the appropriate network provider that is in charge of the scheduling of the desired time slot, to inquire about overriding the first advertisement and replacing it with the second advertisement (Block 44). As stated above, only an advertisement categorized as override is capable of being overridden. The network provider then informs the second advertiser of the category of the first advertisement or time slot (Block 46).
The network content provider (26,
After the network content provider (26,
The series of checkpoints may include the first and second advertisements lengths in time, the proper fees, technical specifications, and a search to determine when the last time that an advertisement was broadcast relating to the same or similar type product. The time length requirement is to ensure that the second advertisement is an appropriate fit and will not result in a disruption in the broadcast transmission. The proper fees checkpoint is to ensure that a premium has been paid, or will be paid, by the advertiser to override the first advertisement. Technical specifications may include such items as formatting and an appropriate amount of time necessary to implement the change without a causing a disruption in the broadcast transmission. Other technical specifications will be well-known to those of ordinary skill in the art.
To illustrate the series of checkpoints, for example, assume that an advertiser of a sport-utility automobile desires to replace a first sport-utility automobile advertisement, of a competitor, with a second advertisement. The advertisement substitution may involve the network content provider (26,
Referring to
The interactive server 28 receives a request from the second advertiser 22 regarding specifications and override options relating to the first advertisement. The interactive server 28 accesses and retrieves information from the database (Block 64). As stated above, only an advertisement categorized as override is capable of being overridden. The interactive server 28 transmits the requested information to the second advertiser regarding the first advertisement, information including categorization.
The network content provider (26,
After the interactive server 28 determines that the first advertisement is capable of being overridden, the interactive server 28 runs through a series of checkpoints (Block 68) to determine if the second advertisement may be inserted into the broadcast in the place of the first advertisement. A correct response to the series of checkpoints will lead to the replacement of the first advertisement with the second advertisement (Block 70). An incorrect response to the series of checkpoints leads to the advertiser having to choose an alternative second advertisement to be inserted (Block 72), or opting not to proceed.
As stated above, the series of checkpoints may include the first and second advertisements lengths in time, the proper fees, technical specifications, and a search to determine when the last time that an advertisement was broadcast relating to the same or similar type product. The time length requirement is to ensure that the second advertisement is an appropriate fit and will not result in a disruption in the broadcast transmission. The proper fees checkpoint is to ensure that a premium has been paid, or will be paid, by the advertiser to override the first advertisement. Technical specifications may include such items as formatting and an appropriate amount of time necessary to implement the change without a causing a disruption in the broadcast transmission. Other technical specifications will be well-known to those of ordinary skill in the art.
In one embodiment, the present invention may acquire data used to select a desired advertising time slot based on a demographics and programming ratings collection and analysis system, as is well known in the art. The ratings collection and analysis systems may track program viewing activities by sampling a plurality of households and estimating the number of viewers of the programs using viewing activity data, focus groups that study the effectiveness of different types advertisements, and product sales reports. Using data gathering technology to identify valuable viewers, override and non-override advertisements may be matched to correspond with most-valuable and least-valuable viewer subsets. In one embodiment, a processor determines valuable viewer subsets by collecting information to create a log about all events or selected events of interest viewed by potential consumers. Other marketing tools may be used to determine valuable viewer subsets, and the information obtained using these marketing tools may aid an advertiser in making decisions regarding when to override a scheduled advertisement.
The systems and methods of the present invention may be employed for use Internet advertising management. In one embodiment, an Internet network content provider may provide advertisements displayed as “pop-up” web-pages. A scheduled programmed first “pop-up” advertisement may be replaced by a second advertisement in a similar manner as described above. Alternative embodiments may include replaceable advertisements displayed on a web-page containing additional content unrelated to the product or service being displayed.
The systems and methods of the present invention may be employed for use in radio broadcasts. A scheduled first advertisement may be replaced by a second advertisement in a commercial break broadcast during a radio program, using the pricing methodology described above. In alternative embodiments, the systems and methods of the present invention may be employed in any additional field in which advertisements are broadcast to viewers.
The foregoing is provided to explain and disclose preferred embodiments of the present invention, modifications to which may be made that still fall within the following claims. For instance, the architecture and programming of the system may be modified. Or, a variety of different manufacturers' servers or databases may be configured in order to implement the system. Further modifications and adaptations to the described embodiments will be apparent to those skilled in the art and may be made without departing from the scope or spirit of the invention and the following claims.
This application is a divisional of U.S. application Ser. No. 10/020,779, filed Dec. 14, 2001 and entitled “Advertising and Content Management Systems and Methods”, and incorporated herein by reference in its entirety.
Number | Name | Date | Kind |
---|---|---|---|
677209 | Chernock et al. | Jun 1901 | A |
3798610 | Bliss et al. | Mar 1974 | A |
3886302 | Kosco | May 1975 | A |
3924187 | Dormans | Dec 1975 | A |
4130833 | Chomet | Dec 1978 | A |
4258386 | Cheung | Mar 1981 | A |
4361851 | Asip et al. | Nov 1982 | A |
4488179 | Kruger et al. | Dec 1984 | A |
4566030 | Nickerson et al. | Jan 1986 | A |
4567591 | Gray et al. | Jan 1986 | A |
4598288 | Yarbrough et al. | Jul 1986 | A |
4602279 | Freeman | Jul 1986 | A |
4688248 | Tomizawa | Aug 1987 | A |
4689661 | Barbieri et al. | Aug 1987 | A |
4697209 | Kiewitt et al. | Sep 1987 | A |
4698670 | Matty | Oct 1987 | A |
4720873 | Goodman et al. | Jan 1988 | A |
4816904 | McKenna et al. | Mar 1989 | A |
4885632 | Mabey et al. | Dec 1989 | A |
4890322 | Russell, Jr. | Dec 1989 | A |
4912552 | Allison | Mar 1990 | A |
5010585 | Garcia | Apr 1991 | A |
5038211 | Hallenbeck | Aug 1991 | A |
5046090 | Walker et al. | Sep 1991 | A |
5046092 | Walker et al. | Sep 1991 | A |
5055924 | Skutta | Oct 1991 | A |
5173900 | Miller et al. | Dec 1992 | A |
5191645 | Carlucci et al. | Mar 1993 | A |
5208665 | McCalley et al. | May 1993 | A |
5247347 | Litteral et al. | Sep 1993 | A |
5249044 | VonKohorn | Sep 1993 | A |
5251324 | McMullan, Jr. | Oct 1993 | A |
5287181 | Holman | Feb 1994 | A |
5335277 | Harvey et al. | Aug 1994 | A |
5339315 | Maeda et al. | Aug 1994 | A |
5343240 | Yu | Aug 1994 | A |
5357276 | Banker et al. | Oct 1994 | A |
5374951 | Welsh | Dec 1994 | A |
5382970 | Kiefl | Jan 1995 | A |
5389964 | Oberle | Feb 1995 | A |
5404393 | Remillard | Apr 1995 | A |
5410326 | Goldstein | Apr 1995 | A |
5410344 | Graves et al. | Apr 1995 | A |
5436653 | Ellis et al. | Jul 1995 | A |
5440334 | Walters et al. | Aug 1995 | A |
5444499 | Saitoh | Aug 1995 | A |
5446490 | Blahut et al. | Aug 1995 | A |
5446919 | Wilkins | Aug 1995 | A |
5481294 | Thomas et al. | Jan 1996 | A |
5497185 | Dufresne et al. | Mar 1996 | A |
5500681 | Jones | Mar 1996 | A |
5504519 | Remillard | Apr 1996 | A |
5532732 | Yuen et al. | Jul 1996 | A |
5532735 | Blahut et al. | Jul 1996 | A |
5534911 | Levitan | Jul 1996 | A |
5537143 | Steingold et al. | Jul 1996 | A |
5559548 | Davis | Sep 1996 | A |
5579124 | Aijala et al. | Nov 1996 | A |
5585838 | Lawler et al. | Dec 1996 | A |
5585865 | Amano | Dec 1996 | A |
5589892 | Knee et al. | Dec 1996 | A |
5596994 | Bro | Jan 1997 | A |
5600364 | Hendricks | Feb 1997 | A |
5600366 | Schulman | Feb 1997 | A |
5606359 | Youden et al. | Feb 1997 | A |
5606602 | Johnson et al. | Feb 1997 | A |
5608448 | Smoral et al. | Mar 1997 | A |
5619247 | Russo | Apr 1997 | A |
5630119 | Aristides | May 1997 | A |
5649200 | Leblang et al. | Jul 1997 | A |
5659350 | Hendricks | Aug 1997 | A |
5661516 | Carles | Aug 1997 | A |
5710815 | Ming et al. | Jan 1998 | A |
5721827 | Logan | Feb 1998 | A |
5724521 | Dedrick | Mar 1998 | A |
5724525 | Beyers, II et al. | Mar 1998 | A |
5724607 | Brandt | Mar 1998 | A |
5740549 | Reilly et al. | Apr 1998 | A |
5752159 | Faust et al. | May 1998 | A |
5754393 | Hiratsuka et al. | May 1998 | A |
5754775 | Adamson et al. | May 1998 | A |
5754939 | Herz | May 1998 | A |
5758257 | Herz et al. | May 1998 | A |
5758259 | Lawler | May 1998 | A |
5774170 | Hite et al. | Jun 1998 | A |
5777614 | Ando et al. | Jul 1998 | A |
5778182 | Cathey et al. | Jul 1998 | A |
5794210 | Goldhaber et al. | Aug 1998 | A |
5796952 | Davis et al. | Aug 1998 | A |
5798785 | Hendricks et al. | Aug 1998 | A |
5809481 | Baron | Sep 1998 | A |
5818438 | Howe | Oct 1998 | A |
5838314 | Neel | Nov 1998 | A |
5848396 | Gerace | Dec 1998 | A |
5848397 | Marsh | Dec 1998 | A |
5850249 | Massetti et al. | Dec 1998 | A |
5850447 | Peyret | Dec 1998 | A |
5854897 | Radziewicz | Dec 1998 | A |
5861906 | Dunn et al. | Jan 1999 | A |
5867226 | Wehmeyer et al. | Feb 1999 | A |
5872588 | Aras et al. | Feb 1999 | A |
5872834 | Teitelbaum et al. | Feb 1999 | A |
5883942 | Lim et al. | Mar 1999 | A |
5892508 | Howe | Apr 1999 | A |
5892536 | Logan | Apr 1999 | A |
5900908 | Kirkland | May 1999 | A |
5901209 | Tannhenbaum et al. | May 1999 | A |
5917481 | Rzeszewski | Jun 1999 | A |
5931908 | Gerba et al. | Aug 1999 | A |
5945988 | Williams et al. | Aug 1999 | A |
5946636 | Uyeno et al. | Aug 1999 | A |
5948061 | Merriman et al. | Sep 1999 | A |
5973683 | Cragun | Oct 1999 | A |
5983227 | Nazem | Nov 1999 | A |
5991735 | Gerace | Nov 1999 | A |
5991799 | Yen et al. | Nov 1999 | A |
6002393 | Hite | Dec 1999 | A |
6005597 | Barrett | Dec 1999 | A |
6026368 | Brown et al. | Feb 2000 | A |
6029045 | Picco et al. | Feb 2000 | A |
6029195 | Herz | Feb 2000 | A |
6076094 | Cohen | Jun 2000 | A |
6081840 | Zhao | Jun 2000 | A |
6100916 | August | Aug 2000 | A |
6119098 | Guyot et al. | Sep 2000 | A |
6128009 | Ohkura et al. | Oct 2000 | A |
6134531 | Trewitt et al. | Oct 2000 | A |
6134532 | Lazarus | Oct 2000 | A |
6160570 | Sitnik | Dec 2000 | A |
6163644 | Owashi et al. | Dec 2000 | A |
6172674 | Ethridge | Jan 2001 | B1 |
6172677 | Stautner et al. | Jan 2001 | B1 |
6177930 | Chernock et al. | Jan 2001 | B1 |
6177931 | Alexander et al. | Jan 2001 | B1 |
D437879 | Weinandt | Feb 2001 | S |
6185614 | Cuomo | Feb 2001 | B1 |
6199076 | Logan et al. | Mar 2001 | B1 |
6202210 | Judtke | Mar 2001 | B1 |
6226618 | Downs et al. | May 2001 | B1 |
6236975 | Boe et al. | May 2001 | B1 |
6252586 | Freeman et al. | Jun 2001 | B1 |
6253189 | Feezell et al. | Jun 2001 | B1 |
6279157 | Takasu | Aug 2001 | B1 |
6282713 | Kitsukawa | Aug 2001 | B1 |
6286042 | Hasselberg et al. | Sep 2001 | B1 |
6292549 | Lung et al. | Sep 2001 | B1 |
6304644 | Karnowski | Oct 2001 | B2 |
6310943 | Kowlaski | Oct 2001 | B1 |
6314568 | Ochiai | Nov 2001 | B1 |
6314577 | Pocock | Nov 2001 | B1 |
6317488 | DePond et al. | Nov 2001 | B1 |
6324271 | Sawyer et al. | Nov 2001 | B1 |
6327574 | Kramer et al. | Dec 2001 | B1 |
6332021 | Latter et al. | Dec 2001 | B2 |
6338043 | Miller | Jan 2002 | B1 |
6339639 | Henderson | Jan 2002 | B1 |
6341161 | Latter et al. | Jan 2002 | B1 |
6345187 | Berthoud et al. | Feb 2002 | B1 |
6345256 | Milsted et al. | Feb 2002 | B1 |
6351637 | Lee | Feb 2002 | B1 |
6353929 | Houston | Mar 2002 | B1 |
6366772 | Arnson | Apr 2002 | B1 |
6397057 | Malackowski et al. | May 2002 | B1 |
6400408 | Berger | Jun 2002 | B1 |
6408437 | Hendricks et al. | Jun 2002 | B1 |
6427003 | Corbett | Jul 2002 | B1 |
6434747 | Khoo et al. | Aug 2002 | B1 |
6438216 | Aktas | Aug 2002 | B1 |
6442262 | Moss et al. | Aug 2002 | B1 |
6442263 | Beaton et al. | Aug 2002 | B1 |
6445781 | Heinmiller et al. | Sep 2002 | B1 |
6446261 | Rosser | Sep 2002 | B1 |
6457010 | Eldering | Sep 2002 | B1 |
6463468 | Bush | Oct 2002 | B1 |
6463585 | Hendricks et al. | Oct 2002 | B1 |
6477704 | Cremia | Nov 2002 | B1 |
6480589 | Lee et al. | Nov 2002 | B1 |
6487538 | Gupta et al. | Nov 2002 | B1 |
6493439 | Lung et al. | Dec 2002 | B2 |
6496569 | Pelletier et al. | Dec 2002 | B2 |
6496571 | Wilson | Dec 2002 | B1 |
6496818 | Ponte | Dec 2002 | B1 |
6498841 | Bull et al. | Dec 2002 | B2 |
6505348 | Knowles | Jan 2003 | B1 |
6507839 | Ponte | Jan 2003 | B1 |
6510417 | Woods et al. | Jan 2003 | B1 |
6529591 | Dosani et al. | Mar 2003 | B1 |
6530082 | DelSesto et al. | Mar 2003 | B1 |
6542583 | Taylor | Apr 2003 | B1 |
6542591 | Amro et al. | Apr 2003 | B1 |
6546092 | Corbett et al. | Apr 2003 | B2 |
6553110 | Peng | Apr 2003 | B1 |
6553178 | Abecassis | Apr 2003 | B2 |
6560317 | Quagliana | May 2003 | B1 |
6560327 | McConnell | May 2003 | B1 |
6570971 | Latter et al. | May 2003 | B2 |
6571344 | Sitnik | May 2003 | B1 |
6574319 | Latter et al. | Jun 2003 | B2 |
6584490 | Schuster et al. | Jun 2003 | B1 |
6631181 | Bates et al. | Oct 2003 | B1 |
6631360 | Cook | Oct 2003 | B1 |
6639979 | Kim | Oct 2003 | B1 |
6647548 | Lu et al. | Nov 2003 | B1 |
6650743 | Heinmiller et al. | Nov 2003 | B2 |
6675383 | Wheeler et al. | Jan 2004 | B1 |
6698020 | Zigmond et al. | Feb 2004 | B1 |
6714992 | Kanojia et al. | Mar 2004 | B1 |
6718021 | Crockett et al. | Apr 2004 | B2 |
6718551 | Swix et al. | Apr 2004 | B1 |
6728355 | Kowalski | Apr 2004 | B2 |
6731727 | Corbett et al. | May 2004 | B2 |
6738978 | Hendricks et al. | May 2004 | B1 |
6748058 | Schwend et al. | Jun 2004 | B1 |
6748068 | Walsh et al. | Jun 2004 | B1 |
6757691 | Welsh et al. | Jun 2004 | B1 |
6766003 | Moss et al. | Jul 2004 | B2 |
6766524 | Matheny et al. | Jul 2004 | B1 |
D494953 | Leung | Aug 2004 | S |
6771754 | Pelletier et al. | Aug 2004 | B2 |
6771755 | Simpson | Aug 2004 | B1 |
6772209 | Chernock | Aug 2004 | B1 |
6785301 | Chapman et al. | Aug 2004 | B1 |
6785368 | Eason et al. | Aug 2004 | B1 |
6798879 | Beham | Sep 2004 | B1 |
6807267 | Moss et al. | Oct 2004 | B2 |
6810115 | Fukuda | Oct 2004 | B2 |
6810527 | Conrad et al. | Oct 2004 | B1 |
6816481 | Adams et al. | Nov 2004 | B1 |
6826271 | Kanabar et al. | Nov 2004 | B1 |
6831974 | Watson et al. | Dec 2004 | B1 |
6845151 | Peng | Jan 2005 | B2 |
6845396 | Kanojia et al. | Jan 2005 | B1 |
6845398 | Galensky | Jan 2005 | B1 |
6850988 | Reed | Feb 2005 | B1 |
6950804 | Strietzel | Sep 2005 | B2 |
6970641 | Pierre | Nov 2005 | B1 |
6976268 | Courtney | Dec 2005 | B2 |
6983478 | Grauch et al. | Jan 2006 | B1 |
6985822 | Hoyte | Jan 2006 | B2 |
6985882 | Del Sesto | Jan 2006 | B1 |
7000245 | Pierre | Feb 2006 | B1 |
7010492 | Bassett et al. | Mar 2006 | B1 |
7020336 | Cohen-Solal | Mar 2006 | B2 |
7020652 | Matz | Mar 2006 | B2 |
7039599 | Merriman | May 2006 | B2 |
7039932 | Eldering | May 2006 | B2 |
7086075 | Swix | Aug 2006 | B2 |
7100183 | Kunkel et al. | Aug 2006 | B2 |
7212979 | Matz et al | May 2007 | B1 |
7228283 | Hornstein | Jun 2007 | B1 |
7260823 | Schlack et al. | Aug 2007 | B2 |
7269835 | Swix | Sep 2007 | B2 |
7343354 | Hennessey | Mar 2008 | B2 |
7441260 | Kurapati | Oct 2008 | B1 |
7444658 | Matz | Oct 2008 | B1 |
7587323 | Matz | Sep 2009 | B2 |
7587732 | Wright et al. | Sep 2009 | B2 |
7593858 | Matz | Sep 2009 | B2 |
7617508 | Gray | Nov 2009 | B2 |
7661118 | Matz | Feb 2010 | B2 |
7979877 | Huber et al. | Jul 2011 | B2 |
8086491 | Matz | Dec 2011 | B1 |
8196166 | Roberts et al. | Jun 2012 | B2 |
20010004733 | Eldering | Jun 2001 | A1 |
20020002488 | Muyres et al. | Jan 2002 | A1 |
20020004382 | Cox et al. | Jan 2002 | A1 |
20020009184 | Shnier | Jan 2002 | A1 |
20020013757 | Bykowsky | Jan 2002 | A1 |
20020016748 | Emodi et al. | Feb 2002 | A1 |
20020016964 | Aratani et al. | Feb 2002 | A1 |
20020032906 | Grossman | Mar 2002 | A1 |
20020035600 | Ullman et al. | Mar 2002 | A1 |
20020038455 | Srinivasan et al. | Mar 2002 | A1 |
20020046099 | Frengut et al. | Apr 2002 | A1 |
20020049631 | Williams | Apr 2002 | A1 |
20020049967 | Haseltine et al. | Apr 2002 | A1 |
20020056109 | Tomsen | May 2002 | A1 |
20020056118 | Hunter et al. | May 2002 | A1 |
20020078443 | Gadkari et al. | Jun 2002 | A1 |
20020083441 | Flickinger et al. | Jun 2002 | A1 |
20020087573 | Reuning et al. | Jul 2002 | A1 |
20020090933 | Rouse et al. | Jul 2002 | A1 |
20020092017 | Klosterman et al. | Jul 2002 | A1 |
20020092019 | Marcus | Jul 2002 | A1 |
20020100064 | Ward et al. | Jul 2002 | A1 |
20020122401 | Xiang et al. | Sep 2002 | A1 |
20020123928 | Eldering et al. | Sep 2002 | A1 |
20020133817 | Markel | Sep 2002 | A1 |
20020143647 | Headings | Oct 2002 | A1 |
20020157108 | Kitsukawa et al. | Oct 2002 | A1 |
20020157109 | Nakano et al. | Oct 2002 | A1 |
20020169709 | Kitayama | Nov 2002 | A1 |
20020183098 | Lee et al. | Dec 2002 | A1 |
20020191755 | Lew et al. | Dec 2002 | A1 |
20020199197 | Winter | Dec 2002 | A1 |
20030003990 | Von Kohorn | Jan 2003 | A1 |
20030028432 | Troyansky et al. | Feb 2003 | A1 |
20030028873 | Lemmons | Feb 2003 | A1 |
20030049967 | Narumo et al. | Mar 2003 | A1 |
20030050100 | Dent | Mar 2003 | A1 |
20030067554 | Klarfield et al. | Apr 2003 | A1 |
20030092384 | Ross, III | May 2003 | A1 |
20030093792 | Labeeb et al. | May 2003 | A1 |
20030095650 | Mize | May 2003 | A1 |
20030108184 | Brown et al. | Jun 2003 | A1 |
20030110489 | Gudorf et al. | Jun 2003 | A1 |
20030110497 | Yassin et al. | Jun 2003 | A1 |
20030115597 | Yassin et al. | Jun 2003 | A1 |
20030148758 | McMullin | Aug 2003 | A1 |
20030149975 | Eldering et al. | Aug 2003 | A1 |
20030172374 | Vinson | Sep 2003 | A1 |
20040125929 | Pope | Jul 2004 | A1 |
20040128682 | Liga et al. | Jul 2004 | A1 |
20040133467 | Siler | Jul 2004 | A1 |
20040163101 | Swix | Aug 2004 | A1 |
20040193483 | Wolan | Sep 2004 | A1 |
20040193488 | Khoo et al. | Sep 2004 | A1 |
20040194131 | Ellis et al. | Sep 2004 | A1 |
20040215559 | Rebenack et al. | Oct 2004 | A1 |
20040220858 | Maggio | Nov 2004 | A1 |
20040248560 | Bedingfield et al. | Dec 2004 | A1 |
20040261127 | Freeman et al. | Dec 2004 | A1 |
20050060759 | Rowe et al. | Mar 2005 | A1 |
20050071863 | Matz | Mar 2005 | A1 |
20050084084 | Cook et al. | Apr 2005 | A1 |
20050132419 | Gray | Jun 2005 | A1 |
20050137958 | Huber et al. | Jun 2005 | A1 |
20050235318 | Grauch | Oct 2005 | A1 |
20050239448 | Bayne | Oct 2005 | A1 |
20050251820 | Stefanik | Nov 2005 | A1 |
20050278741 | Robarts et al. | Dec 2005 | A1 |
20050283401 | Swix | Dec 2005 | A1 |
20050283792 | Swix | Dec 2005 | A1 |
20060031882 | Swix | Feb 2006 | A1 |
20060075456 | Gray | Apr 2006 | A1 |
20060106710 | Meek et al. | May 2006 | A1 |
20060161952 | Herz et al. | Jul 2006 | A1 |
20060168616 | Candelore | Jul 2006 | A1 |
20060253884 | Gray | Nov 2006 | A1 |
20060271438 | Shotland et al. | Nov 2006 | A1 |
20060271552 | McChesney et al. | Nov 2006 | A1 |
20060288367 | Swix | Dec 2006 | A1 |
20070038514 | Patterson et al. | Feb 2007 | A1 |
20070083885 | Harding | Apr 2007 | A1 |
20070226761 | Zalewski et al. | Sep 2007 | A1 |
20070250846 | Swix | Oct 2007 | A1 |
20070255622 | Swix | Nov 2007 | A1 |
20070288350 | Bykowsky | Dec 2007 | A1 |
20080004962 | Muthukrishnan et al. | Jan 2008 | A1 |
20080104634 | Gajdos et al. | May 2008 | A1 |
20080147497 | Tischer | Jun 2008 | A1 |
20080148311 | Tischer | Jun 2008 | A1 |
20080167943 | O'Neil | Jul 2008 | A1 |
20080263586 | Thomas | Oct 2008 | A1 |
20090292703 | Matz | Nov 2009 | A1 |
20100083298 | Gray et al. | Apr 2010 | A1 |
20100088725 | Swix | Apr 2010 | A1 |
20100100435 | Matz | Apr 2010 | A1 |
20100191601 | Matz | Jul 2010 | A1 |
20100257037 | Matz | Oct 2010 | A1 |
20110178877 | Swix | Jul 2011 | A1 |
Number | Date | Country |
---|---|---|
0 424 648 | Feb 1991 | EP |
1 162 840 | Dec 2001 | EP |
WO 9222983 | Dec 1992 | WO |
WO 94 17609 | Aug 1994 | WO |
WO 96 07270 | Mar 1996 | WO |
WO 9831114 | Jul 1998 | WO |
WO 99 04561 | Jan 1999 | WO |
WO 9945702 | Oct 1999 | WO |
WO 99 52285 | Oct 1999 | WO |
WO 0147156 | Jun 2001 | WO |
WO 03 052551 | Jun 2003 | WO |
Entry |
---|
Ehrmantraut et al., “The Personal Electronic Program Guide—Towards the Pre-selection of Individual TV Programs”, 8 Pages, 1996. |
www.actv.com, Screen Print, Oct. 8, 2000. |
“ACTV, Inc. Offers Exclusive Preview of ‘Individualized Television’ at Official All-Star Café,” Business Wire, Sep. 16, 1998. |
“ACTV's HyperTV & ‘Individualized Television’ to be Powered by Sun Microsystems' JavaTV Technology,” Business Wire, Apr. 21, 1999. |
Whitaker, Jerry, “Interactive TV: Killer Ap or Technical Curiosity?”, Broadcast Engineering, Dec. 1999. |
Dickson, Glen, “Digital TV gets specifically directed,” Broadcasting & Cable, Jun. 5, 2000. |
Reed, David, “The future is digital,” Precision Marketing, v. 13, n.51, p. 27, Sep. 21, 2001. |
Wasserman, Todd, “Mining Everyone's Business.” Brandweek, Feb. 28, 2000. 19 pages. |
Cauley, Leslie, “Microsoft, Baby Bell Form Video Alliance,” The Wall Street Journal, Sep. 26, 1994. |
“allNetDevices:—Report: Interactive TV Soon to Become Direct Marketing Tool,” allNetDevices, www.devices.internet.com/com—cgi/print/print.cgi?url=http://devices.../report—interactive.html, (Nov. 16, 2001) pp. 1-2. |
“Liberate Technologies—Solutions,” Digital Cable Two-Way, www.solutions.liberate.com/architecture/dc2.html, (Nov. 16, 2001) p. 1 of 1. |
“Liberate Technologies—Solutions,” Digital Broadband Telco, www.solutions.liberate.com/architecture/db.html, (Nov. 16, 2001) p. 1 of 1. |
“Liberate Technologies—Solutions,” Liberate Connect Suite, www.solutions.liberate.com/products/connect—suite/html, (Nov. 16, 2001) pp. 1-2. |
“Liberate Technologies—Solutions,” Liberate imprint Server™, www.solutions.liberate.com/products/imprint—server.html, (Nov. 16, 2001) p. 1 of 1. |
“Liberate Technologies—Solutions,” Liberate Mediacast Server™ www.solutions.liberate.com/products/mediacast—server.html, (Nov. 16, 2001) pp. 1-2. |
“Spike High Performance Server Array,” Mixed Signals Technologies, Inc., www.mixedsignals.com, itvinfo@mixedsignals.com (2000) p. 1. |
“Power, flexibility, and control,” RespondTV, www.respondtv.com/whyrespond.html (Nov. 16, 2001) pp. 1-2. |
“It just clicks!,” RespondTV, www.respondtv.com/inaction.html, (Nov. 16, 2001) pp. 1-2. |
“The Wink System,” Wink System Diagram, www.wink.com/contents/tech—diagram.html, (Nov. 16, 2001) p. 1 of 1. |
“What is Wink?,” www.wink.com/contents/whatiswink.html, (Nov. 16, 2001) p. 1 of 1. |
“How Wink Works,” What is Wink: How wink works, www.wink.com/contents/howitworks.html, (Nov. 16, 2001) p. 1 of 1. |
“What is Wink: Examples,” What is Wink—Examples, www.wink.com/contents/examples.html, (Nov. 16, 2001) pp. 1-2. |
“Nielsen Media Research—Who We Are & What We Do,” www.nielsenmedia.com/whoweare.html, (Oct. 11, 2001) pp. 1-4. |
Aggarwal et al (“A Framework for the Optimizing of WWW Advertising” Proceedings of the International IFIP/GI Working Conference Trends in Distributed Systems for Electronic Commerce, pp. 1-10, Year of Publication: 1998). |
Ehrmantraut et al., “The Personal Electronic Program Guide—Towards the Pre-selection of Individual TV Programs”, pp. 1-8, 1996. |
U.S. Appl. No. 08/779,306, Grauch. |
U.S. Appl. No. 10/017,742, Matz. |
Number | Date | Country | |
---|---|---|---|
20070255622 A1 | Nov 2007 | US |
Number | Date | Country | |
---|---|---|---|
Parent | 10020779 | Dec 2001 | US |
Child | 11821926 | US |