Patent Grant
11488179
The present disclosure relates generally to providing selected advertising to send to a recipient.
Targeted advertising selects an advertisement and sends the advertisement to selected individuals who are targeted to receive the advertisement. Advertisers can potentially save advertising dollars by selecting who will receive their advertisements rather than indiscriminately broadcasting their advertisements to a general population of recipients. Thus, only those individuals selected by an advertiser receive the targeted advertisement in hope that the targeted recipients will be more responsive on a per capita basis than a general broadcast population. Advertisement distributors and providers that enable such an advertising model (e.g. Internet portals, television providers, access network providers) can correspondingly increase their revenue per advertisement impression by providing targeted advertising options for advertisers.
Targeted advertisements have historically been sent to targeted recipients based on geographic areas so that regional advertisers reach only those advertising recipients who are deemed by the advertiser as most likely to be responsive to their advertisements. Targeted advertisements have also been directed to selected demographic sectors of the population so that the targeted advertisement is sent only to those members of a selected demographic sector who are deemed by advertisers to be most likely to be responsive to their advertisements.
For detailed understanding of the illustrative embodiment, references should be made to the following detailed description of an illustrative embodiment, taken in conjunction with the accompanying drawings, in which like elements have been given like numerals.
In view of the above, an illustrative embodiment is presented through one or more of its various aspects to provide one or more advantages, such as those noted below.
Given the privacy concerns of subscribers, an illustrative embodiment of a system and method provides subscriber directed privacy controls that include utilizing subscriber usage information as opt in settings defined by the subscriber, and maintained in the user's profile. The subscriber privacy controls are further supplemented with merchant and service provider privacy controls that may be used to restrict access to monitoring subscriber related data including but not limited to subscriber identity and subscriber activity such as phone logs and web surfing history. In another embodiment the subscriber has strict control over how his personal web surfing, communications, and purchase information can be used in identifiable and non-identifiable ways (i.e., relate data collected anonymously or to a specific user), both in maintaining the product interest correlation system, and in determining what can be acceptably advertised to the subscriber.
In an IP based targeted advertising system, the subscriber has full control over which of her tasks are tracked and how they are tracked (e.g., by identifying the user, generically flagging the data, for the purposes of maintaining product correlation interests, as well as what types of ads can be delivered and under what circumstances the subscriber is willing to receive them. Regardless, none of the subscriber's personal usage information needs to be disclosed to potential advertisers. Rather, advertisers can use only the product interest correlation scores, subscriber permissions defining under what circumstances they are willing to receive an advertisement, and the current context of the user (all with subscriber opt in) to determine whether delivering an advertisement to the subscriber at an agreed upon time and price is appropriate.
In a particular embodiment a method is disclosed for selecting advertising. The method includes monitoring subscriber event data from a first subscriber access device and a second subscriber access device, calculating product interest correlation scores in a plurality of product categories for the subscriber based on the subscriber event data, reviewing an advertiser database to select an advertisement in at least one of the product categories, and selecting a format to deliver the selected advertisement to a third subscriber access device.
In another particular embodiment of the method the subscriber event data is at least two of selecting a television station, selecting a interactive television menu option, selecting content for an internet protocol (IP) access device, accessing a resource indicated by a uniform resource indicator (URI), browsing a web site, creating a user profile, carrying out a digital purchase transaction, internet chatting, internet blogging, placing a telephone call, sending an instant message, receiving an instant message, receiving an email and sending an electronic mail message.
In another particular embodiment of the method the first subscriber access device is selected from a group including but not limited to a cell phone, personal digital assistant (PDA), lap top computer, stationary personal computer, IPTV remote control, web tablet, laptop computer, pocket PC, a television set capable of receiving IP based video services and mobile IP device, the second subscriber access device is one selected from a group consisting of a cell phone, personal digital assistant (PDA), lap top computer, stationary personal computer, IPTV remote control, web tablet, laptop computer, pocket PC, a television set capable of receiving IP based video services and mobile IP device, and the third subscriber access device is one selected from a group consisting of a cell phone, personal digital assistant (PDA), lap top computer, stationary personal computer, IPTV remote control, web tablet, laptop computer, pocket PC, a television set capable of receiving IP based video services and mobile IP device.
In another particular embodiment of the method, the first, second and third subscriber access devices are different from each other.
In another particular embodiment the method further includes determining a characteristic for the third subscriber access device and adapting an advertisement format for the third subscriber access device to at least one of the group consisting of audio, video, graphics support, and text fidelity to match the characteristic of the third access device.
In another particular embodiment the method further includes weighting the product interest correlation scores based on previous event data for the subscriber in the product categories. In another particular embodiment of the method selecting a format further includes assessing real time contextual information about the subscriber and weighting the product interest correlation score based on the real time contextual information.
In another particular embodiment the method further includes accepting a subscriber input for allowing for at least one of the group consisting of accepting advertising on an access device and monitoring of subscriber event data. In another particular embodiment the method further includes assessing event data to infer subscriber intent in the product categories and weighting the product interest correlation scores based on the subscriber intent in the product categories.
In another particular embodiment the method further includes determining an available advertising window based on a current usage scenario for the subscriber, correlating product categories for a plurality of available advertisements in the plurality of product categories to the current usage scenario, and selecting an advertisement from the plurality of available advertisements in one or more the plurality product categories based on a high auction bid.
In another particular embodiment the method further includes receiving a plurality of advertisers' auction bids in the plurality of product categories based on the correlation score and selecting an advertisement in one of the product categories with a highest bid from the plurality of advertisers. In another particular embodiment of the method the advertisers' auction bids are for two or more product categories.
In another embodiment a system is disclosed to select advertising is disclosed. The system includes a processor in communication with a memory, an advertising index database in the memory, a product interest correlation scores data structure in the memory, an event data interface that receives event data from at least a first and a second subscriber access device to store and classify the event data in the memory, and a computer program for execution by the processor that contains instructions to calculate a plurality of product interest correlation scores for a subscriber in a plurality of product categories based on the event data and instructions to apply the product interest correlation scores to an advertisement database to select an advertisement in the product category to send to the subscriber over a third subscriber access device.
In another particular embodiment of the system the first subscriber access device is selected from a group consisting of a cell phone, personal digital assistant (PDA), lap top computer, stationary personal computer, IPTV remote control, web tablet, laptop computer, pocket PC, a television set capable of receiving IP based video services and mobile IP device, the second subscriber access device is one selected from a group consisting of a cell phone, personal digital assistant (PDA), lap top computer, stationary personal computer, IPTV remote control, web tablet, laptop computer, pocket PC, a television set capable of receiving IP based video services and mobile IP device, and the third subscriber access device is one selected from a group consisting of a cell phone, personal digital assistant (PDA), lap top computer, stationary personal computer, IPTV remote control, web tablet, laptop computer, pocket PC, a television set capable of receiving IP based video services and mobile IP device.
In another particular embodiment of the system the first, second and third subscriber access devices are different from each other.
In another particular embodiment of the system the event data interface receives data indicating at least one of the group consisting of selecting a television station, selecting a interactive television menu option, selecting content for an internet protocol (IP) access device, accessing a resource indicated by a uniform resource indicator (URI), browsing a web site, creating a user profile, carrying out a digital purchase transaction, internet chatting, internet blogging, placing a telephone call, sending an instant message, receiving an instant message, receiving an email, and sending an electronic mail message.
In another particular embodiment the system further includes an advertiser interface for receiving advertisers' auction bids for the product category based on the correlation score. In another particular embodiment the system further includes an interface for sending the selected advertisement to a subscriber access device.
In another particular embodiment a data structure is disclosed. The data structure includes a plurality of correlation scores fields for storing correlation scores data indicating a correlation score in a plurality of product categories for a subscriber, a product categories field for storing product categories data indicating a plurality product categories, a plurality of subscriber identifier fields for storing subscriber identifier data indicating identifiers for the subscriber, and a plurality of subscriber event data fields for storing subscriber event data from at least a first access device and a second access device for use in calculating the plurality of correlation scores in the plurality of product categories.
In another particular embodiment of the data structure the subscriber event data is selected from a group consisting of selecting a television station, selecting a interactive television menu option, selecting content for an internet protocol (IP) access device, accessing a resource indicated by a uniform resource indicator (URI), browsing a web site, creating a user profile, carrying out a digital purchase transaction, internet chatting, internet blogging, placing a telephone call, sending an instant message, receiving an instant message, receiving an email and sending an electronic mail message.
In another particular embodiment the data structure further includes a plurality of advertisement fields for storing data for an advertisements for sending to a third subscriber access device. In another particular embodiment the data structure further includes a retail store layout field for storing data indicating a merchant physical location layout for locating in a merchant physical location a product in the product category of the advertisement sent to the third subscriber access device.
In another particular embodiment the data structure further includes a product inventory field for storing data indicating a product inventory for a merchant physical location having the product in the product category of the advertisement sent to the third subscriber access device. In another particular embodiment the data structure further includes a threshold field for storing data indicating a product interest correlation score threshold for determining whether to send an advertisement to a subscriber access device.
In another particular embodiment a device for receiving an advertisement targeted to a subscriber is disclosed. The device includes a subscriber access device for accessing an internet protocol (IP) network and an interface on the access device for receiving a targeted advertisement based on a product interest correlation score for the subscriber wherein the product interest correlation score is event data from a first and a second access subscriber device, calculating a product interest correlation score in a plurality of product categories for the subscriber based on the subscriber event data, reviewing an advertiser database to select an advertisement in at least one of the product categories, and selecting a format to deliver the selected advertisement to a third subscriber access device.
In another particular embodiment of the device the subscriber event data is at least two selected from the group consisting of selecting a television station, selecting a interactive television menu option, selecting content for an IP access device, accessing a resource indicated by a uniform resource indicator (URI), browsing a web site, creating a user profile, carrying out a digital purchase transaction, internet chatting, internet blogging, placing a telephone call, sending an instant message, receiving an instant message, receiving an email, and sending an electronic mail message.
In another particular embodiment of the device the first subscriber access device is selected from a group consisting of a cell phone, personal digital assistant (PDA), lap top computer, stationary personal computer, IPTV remote control, web tablet, laptop computer, pocket PC, a television set capable of receiving IP based video services and mobile IP device, the second subscriber access device is one selected from a group consisting of a cell phone, personal digital assistant (PDA), lap top computer, stationary personal computer, IPTV remote control, web tablet, laptop computer, pocket PC, a television set capable of receiving IP based video services and mobile IP device, and the third subscriber access device is one selected from a group consisting of a cell phone, personal digital assistant (PDA), lap top computer, stationary personal computer, IPTV remote control, web tablet, laptop computer, pocket PC, a television set capable of receiving IP based video services and mobile IP device.
In a particular embodiment a computer readable medium having a computer program for selecting advertising embedded therein is disclosed. The computer program includes instructions to monitor subscriber event data from a first subscriber access device and a second subscriber access device, instructions to calculate a product interest correlation score in a plurality of product categories for the subscriber based on the subscriber event data, instructions to review an advertiser database to select an advertisement having a highest correlation score in the product categories, and instructions to select a format to deliver the selected advertisement to a third subscriber access device.
In another particular embodiment of the medium the subscriber event data includes at least two selected from the group consisting of selecting a television station, selecting a interactive television menu option, selecting content for an internet protocol (IP) access device, browsing a web site, carrying out a digital purchase transaction, internet chatting, internet blogging, placing a telephone call, sending an instant message, receiving an instant message, receiving an email, and sending an electronic mail message.
In another particular embodiment of the medium the first subscriber access device is one selected from a group consisting of a cell phone, personal digital assistant (PDA), lap top computer, stationary personal computer, IPTV remote control, web tablet, laptop computer, pocket PC, a television set capable of receiving IP based video services and mobile IP device, the second subscriber access device is one selected from a group consisting of a cell phone, personal digital assistant (PDA), lap top computer, stationary personal computer, IPTV remote control, web tablet, laptop computer, pocket PC, a television set capable of receiving IP based video services and mobile IP device, and the third subscriber access device is one selected from a group consisting of a cell phone, personal digital assistant (PDA), lap top computer, stationary personal computer, IPTV remote control, web tablet, laptop computer, pocket PC, a television set capable of receiving IP based video services and mobile IP device.
In another particular embodiment a system for selecting an advertisement to send to a subscriber is disclosed. The system includes an internet profiling module that monitors subscriber event data from at least a first and a second subscriber access device, an internet profiling database for storing and classifying the event data monitored by the internet profiling module, an advertiser index database for storing advertisers' detail information, and an intelligent correlation scoring system (ICSS) processor coupled to the internet profiling database, user profile and the advertiser index database, wherein the ICSS processor is configured to determine product interest correlation scores in a plurality of product categories and select advertisements indicated in the advertiser index database based on product interest correlation scores for the subscriber in the plurality of product categories based on event data from a first and second access device, wherein the advertisement is sent to a third subscriber access device.
In another particular embodiment the system further includes a URI tracking system that assesses subscriber event data from at least a first subscriber access device and a second subscriber access device in real time for subscriber intent in a plurality of product categories.
In another particular embodiment of the system wherein the URI tracking system is at least one selected from the group consisting of a web spidering system, a simple object access protocol (SOAP) proxy, a caching proxy, a transcoding proxy (content translation, media conversion, etc.), a session initiation protocol (SIP) proxy for multimedia sessions, an open mobile alliance (OMA) Push proxy, wireless applications protocol (WAP) proxy and a proxy acting as a firewall, network/application filter.
In another particular embodiment the system further includes a data structure containing user profile settings to opt in to being monitored by the internet profiling module.
In another particular embodiment a method for selecting targeted advertising in an internet protocol television system IPTV is disclosed. The method includes monitoring in an IPTV server subscriber event data from a first subscriber access device and a second subscriber access device, calculating in the IPTV server a product interest correlation score in a plurality of product categories for the subscriber based on the subscriber event data, reviewing. in the IPTV server an advertiser database to select an advertisement in at least one of the product categories, and selecting in the IPTV server a format to deliver the selected advertisement to a third subscriber access device.
In another particular embodiment of the method the subscriber event data is at least two selected from the group consisting of selecting a television station, selecting a interactive television menu option, selecting content for an internet protocol (IP) access device, browsing a web site, carrying out a digital purchase transaction, internet chatting, internet blogging, placing a telephone call, sending an instant message, receiving an instant message, receiving an email, and sending an electronic mail message.
In another particular embodiment of the method the first subscriber access device is one selected from a group consisting of a cell phone, personal digital assistant (PDA), lap top computer, stationary personal computer, IPTV remote control, web tablet, laptop computer, pocket PC, a television set capable of receiving IP based video services and mobile IP device, the second subscriber access device is one selected from a group consisting of a cell phone, personal digital assistant (PDA), lap top computer, stationary personal computer, IPTV remote control, web tablet, laptop computer, pocket PC, a television set capable of receiving IP based video services and mobile IP device, and the third subscriber access device is one selected from a group consisting of a cell phone, personal digital assistant (PDA), lap top computer, stationary personal computer, IPTV remote control, web tablet, laptop computer, pocket PC, a television set capable of receiving IP based video services and mobile IP device.
In a particular embodiment an internet protocol television (IPTV) system for selecting an advertisement to send to a subscriber is disclosed. The system includes an internet profiling module associated with an IPTV server that monitors subscriber event data from at least a first and a second subscriber access device, an internet profiling database associated with the IPTV server for storing and classifying the event data monitored by the internet profiling module, an advertiser index database associated with the IPTV server for storing advertisers' detail information, and an intelligent correlation scoring system (ICSS) processor associated with the IPTV server coupled to the internet profiling database, user profile and the advertiser index database, wherein the ICSS processor is configured to determine product interest correlation scores in a plurality of product categories and select advertisements indicated in the product categories based on event data from a first and second access device, wherein the advertisement is sent to a third subscriber access device.
In another particular embodiment the system further includes a URI tracking system that assesses subscriber event data from at least a first subscriber access device and a second subscriber access device in real time for subscriber intent in the plurality of product categories.
In another particular embodiment of the system the URI tracking is one selected from the group consisting of a web spidering system, a simple object access protocol (SOAP) proxy, a caching proxy, a transcoding proxy (content translation, media conversion, etc.), a session initiation protocol (SIP) proxy for multimedia sessions, an OMA Push proxy, wireless applications protocol (WAP) proxy and a proxy acting as a firewall, network/application filter.
Another illustrative embodiment discloses a system and associated methods to provide a more robust ability to target advertising to consumers across all access devices and mediums and associated services that run over them. The illustrative embodiment monitors the access devices and sends targeted advertisements to the access devices of subscribers.
Consumers are now provided increasingly more choices in high speed internet protocol Internet access networks. Moreover, consumption of television services and Internet content will be increasing over new delivery systems such as IPTV platforms, digital subscriber line (DSL), fiber optic, and cable broadband networks, municipal wireless networks, and third generation (30) mobile networks. Subscriber access devices used to access these networks can be used to deliver targeted advertising to subscribers. In an illustrative embodiment an advertising knowledge management system (AKMS) provides targeted advertisements to subscribers using modalities including but not limited to TV commercials, banner advertisements in web browsers, multimedia IP based advertisements via web browser plug-ins such as flash, instant messaging, multimedia messaging service (MMS) and short messaging service (SMS) messages sent to a cellular telephones. The AKMS also provides pricing, modality and scheduling options to advertisers. Using MMS or flash the AKMS can send pictures, movie clips, cartoons and other graphic materials to cell phones. Using SMS the AKMS can send and receive short alphanumeric messages to and from mobile telephones. The AKMS can also send video, audio, emails and text data over any communication network to which it has access including but not limited to an IPTV network, public switched telephone network (PSTN), VoIP network, wireless network, Wifi and/or WiMAX network which now exists or may be created in the future that can be used to send data to a subscriber access device.
For example, an illustrative embodiment provides targeted advertisements and pricing options as described in the following illustrative scenarios. Susan is planning to purchase children's books as a Christmas present for her nephews. She goes online to a retailer's web site and browses through a number of titles but decides to hold off on a purchase. Presuming Susan has exercised an opt-in preference that allows the AKMS system to monitor her URI and her Internet surfing behavior as a subscriber for this Internet session, this URI visitation information regarding the retailer's web site is mined and stored. After the Internet session and visiting the URI, the illustrative system and method performs spidering and categorization of the web pages visited by Susan to determine her intent for the URI visit and correlates this intent to an interest in certain product categories. A product interest correlation score is calculated for her based on this interest the product category.
Later when Susan is walking through the local mall to finish her other shopping, she receives a targeted text advertisement on her cell phone from the AKMS for the local book store indicating a discount sale on children's books. Hopefully, based on her response to the targeted advertisement to her cell phone, Susan impulsively walks into the store and makes a purchase. A participating merchant may report her purchase to a digital purchase history in the AKMS (or it may be obtained from the eWallet transaction from the service provider). The AKMS will reflect this in her product interest correlation score in this product category. The targeted advertisement Susan received on her cell phone was based on her historic surfing/shopping behavior combined with Susan's presence in a certain location that is close to a merchant selling products in which she is interested determined by her surfing/shopping behavior. Moreover, the purchase of the product and recording of that purchase transaction within the AKMS now reduces or blocks her product interest correlation score for that book—but it likely increases Susan's product interest correlation score for additional products related to the same book. The AKMS is able to interpret such new product interests in order to provide future targeted advertising opportunities to Susan for related products in related product categories.
In another exemplary scenario, during the summer, Anna and her sister have watched a children's television show on a particular television channel every afternoon. It is their favorite show. This is reflected in the product interest correlation scores for Anna and her sister and their morn is selected to receive an advertisement in a product category related to the show. When summer ends, as their mom goes shopping for school supplies, she receives a targeted video advertisement on her WiFi enabled Personal Digital Assistant (PDA) or data capable cellular telephone indicating the availability of the children's television show signature back packs and lunch boxes, providing her with directions on how to get to “aisle 12” in the store (physical merchant location) where the product is located. Knowing Anna too well, of course, mom will strongly consider purchasing school supplies portraying one of Anna's favorite TV characters. Most kids who watch the children's television show also own or rent a related digital video disk (DVD). Thus Anna's product interest correlation score is increased for the DVD, as a DVD product category. An advertisement in the DVD product category is selected to send to Anna's mom. As Anna's mom is driving past a DVD rental store on her way home (or is watching a late night show), she receives a similar advertisement to her portable device for related DVD to be rented or downloaded to the home. In order to trigger an advertisement from another nearby store Mom may send a search request from her cell phone to the Internet for the DVD or for another product category. Based on her location and the product category, her product interest correlation score in that product category searched will increase and an advertisement may be selected to send to Anna's mom.
In another exemplary scenario, while doing his homework, Sean, a high school student has tuned in to a hip hop Internet radio channel from his laptop computer. Sean's product interest correlation score is thus increased in this product category, “rap music”. Later on in the evening, when he turns on his cell phone to chat with a friend, he receives a targeted text message advertisement for a ring tone of a rap artist's latest track. Always known to walk around with the latest ring tone on his cell phone, Sean has opted in to receive advertisements regarding ring tones for his mobile device. Now he only has to push a few buttons in order to purchase this ring tone content via his eWallet and download the ring tone to his mobile device without having to search for the ring tone on the Internet. Thus, Sean saves time and effort and the advertisers' targeted advertising effort has been successful. (eWallet, also referred to as digital wallet, is an application or service that assists consumers in conducting online transactions by allowing them to store billing, shipping, payment, and preference information and to use this information to automatically complete merchant forms. This greatly simplifies the check-out process and minimizes the need for a consumer to think about and complete a merchant's form every time. eWallets that fill forms have been successfully built into browsers, as proxy servers, as helper applications to browsers, as stand-alone applications, as browser plug-ins (including for example, an Internet search engine toolbar), and as server-based applications. The most likely future eWallet for consumers will be built-in right into their web-enabled cellular telephone.)
An illustrative embodiment provides an improved system and method for mining subscriber information from many sources and subscriber access devices (e.g. Internet surfing, content consumption, proactively subscriber stated product interests, purchase history, and telephone call logs) and across many subscriber access devices to create a more compelling targeted advertising experience for advertisers and subscribers. The AKMS in an illustrative embodiment can also insert advertisements into web browsers based on not only the actual search conducted by the subscriber, but also taking into account the current usage scenario, location and other contextual information about the subscriber. The AKMS can send advertising to television advertising platforms for on-demand cable systems to provide geographic targeting and one-to-one targeting potential to set top boxes (STBs).
Turning now to
In an illustrative embodiment the AKMS accesses the advertisements database 220 to select a targeted advertisement to send to the subscriber. The AKMS 108 automatically calculates a product interest correlation score and recommends and/or selects an advertisement, access device and advertisement modality to be used to send a selected advertisement to a selected subscriber access device based on the subscriber's current usage scenario. A subscriber usage scenario includes but is not limited to a subscriber's current access device, location and activity (e.g., watching a particular show over an IPTV network, web surfing, gaming, talking on a phone, chatting on the internet, etc.). For example, if a subscriber has a product interest correlation score higher than a product interest correlation score threshold set by an advertiser for a product category, the illustrative embodiment AKMS system and method can select and send an advertisement in the product category formatted suitably for reception on the subscriber's cell phone (access device) as the subscriber drives near one of the advertiser's merchant physical locations. The subscriber's location can be tracked by global positioning system (OPS), cell tower proximity or triangulation or WiFi hot spot proximity based on the user's cell phone, laptop computer or other access device and factored into the bid price by the advertiser. Alternatively, the user's current location, activity, and correlation scores for product categories may be used to select and queue up an advertisement for delivery later through a different access device. For example, a merchant who is in the vicinity of a subscriber's recent location may choose to send a 30-second television commercial, which cannot be accommodated on the subscriber's current portable access device. The commercial can be queued for delivery once the subscriber is at home watching television rather than immediately sending an advertisement to the subscriber's cell phone.
For example, in an illustrative embodiment a product interest correlation score may range from 1 to 100. An advertiser may set a product interest correlation score threshold of 20 for sending a text advertisement to a subscriber's cell phone, a product interest correlation score threshold of 50 for sending a video advertisement to the subscriber's cell phone and set a product interest correlation score threshold of 90 for sending a video advertisement to the subscriber's IPTV receiver.
Turning now to
As shown in
An advertiser index database 220 stores data indicating advertising sales information 228, local television ad-slot sales information 226, Internet portal advertising sales 224, paper and digital yellow pages sales and advertiser detail information 218. The ad-slot sales information may include times in which available advertising spots are available and in what medium, for example IPTV, IP radio, etc. The advertiser detail information 218 includes but is not limited to IP versions of text advertisements data, video advertisements, audio advertisements and coupon offers. The advertising detail information data further includes but is not limited to auction prices for cost per thousand (CPM), cost per hundred (CPC), and cost per one (CPO) data for each access device display or “screen” offered for advertising, e.g., video, personal computer, and cell phone screens based on time slot and subscriber product interest correlation score data in a designated product data category. The advertising detail information further includes but is not limited to hierarchical storage of advertisements and coupon offers based on subscriber product interest correlation score data and subscriber context score data in a product category. Audio advertisements can be sent to subscriber cell phones or mobile IP devices as recorded messages and video, audio, text and email advertisements can be sent to subscriber cell phones, PDAs, lap top computers and other mobile digital devices capable of receiving data.
The advertising detail information data further includes but is not limited to location based advertisements data and a product interest correlation score threshold data settings. The location data may include but is not limited to a distance from an advertiser location within which a subscriber will be sent an advertisement for the location. The advertising detail information data further includes but is not limited to product location data, driving directions data to the nearest merchant physical location (or store) having the product in stock, product inventory data for that location and layout data for the merchant physical location having the product in stock and location data within the merchant physical location layout at which the product is located indicating where to find the product in the merchant physical location (e.g., “aisle 12”).
Targeted advertisement data can be sent to a subscriber access device, e.g., cell phone, PC or IPTV receiver. The advertisement can include a menu button for selection by an access device to see if a product is in stock and where the product is located in a store having a product in stock. The location of the product in the store can be based on the product uniform product code (UPC) data and digital store inventory data provided by the advertiser. Coupons for the product can be sent along with the advertisement which can be displayed at the store or can be represented by a coupon code sent to the access device that can be presented at the time of purchase to validate the coupon and receive a discounted price or other offer associated with the coupon and advertisement. The subscriber may also have the option of completing the purchase digitally using the eWallet, so the item is ready for pick-up at the retail outlet when they arrive. In such an instance the subscriber's user eWallet and digital purchase history 216 in the AKMS would be updated accordingly. The digital purchase history includes eWallet purchases, subscriber purchases reported by merchants or monitored by the Internet profiling process and purchase information imported from another network.
Once a subscriber enters a mall or store an advertiser can send video or hierarchical graphical displays to a subscriber cell phone or other mobile device guiding the subscriber through shopping and locating products at the store or mall. An advertiser may provide a shopper's assistant software agent in which a subscriber may be guided by asking questions (using textual verbal entry through an automatic voice response system powered by the AKMS and advertising processor using data from the advertiser information data) of the software agent to guide the subscriber through a shopping experience in the store or mall. A user may enter additional products via a selection menu presented by an advertisement sent to a subscriber's mobile access device to locate the products in the store or mall.
Advertiser processors 242 may send and receive data to and from and interact with the advertiser detail information data 218 via interface 240. Interface 240 which may be any digital or electrical interface for sending and receiving messages and data between an advertiser processor 242 and the advertiser detail information 218 data storage. The advertiser index database 220 is in communication with the intelligent correlation and scoring system (ICSS) 212. The ICSS also communicates with the Internet profiling database 204, a user digital purchase history 216, and a web spidering process that classifies URIs 214, subscriber intent and user (subscriber) settings. In an illustrative embodiment the web spidering process visits each URI visited by a subscriber and assesses the subscriber's intent in visiting the URI. Web spidering, otherwise known as web crawling, browses the World Wide Web in a recursive, automated manner by starting with a list of URIs to visit, and then checking for hyperlinks at each URI and visiting those also. In an illustrative embodiment, the web spidering process 214 parses the text on each web page visited by a subscriber and infers product category interest intent for a subscriber visiting the web page for one or more product categories.
In an alternative embodiment, instead or in addition to the web spidering system, a web proxy may be introduced between the subscriber access device and a server to monitor and capture, URIs and URI data accessed by any one of the subscriber access devices used by the subscriber. A processor within the proxy or connected to the proxy will use this data to classify and categorize online events. Such URI data may include responses from the URI to the subscriber including but not limited to purchase transactions, content including video, audio and text and messaging interactions. The URIs and URI data is cached, stored and classified/categorized and indexed with meta data added by the spidering system or proxy.
Proxy manifestations include but not limited to a variety of proxy types (stateful or stateless) may be used for this purpose, including but not limited to a traditional web HTTP proxy/intermediary/gateway. The proxy may further function as a, but not limited to the following, simple object access protocol (SOAP) proxy, a caching proxy, a transcoding proxy (content translation, media conversion, etc.), a session initiation protocol (SIP) proxy for multimedia sessions, an OMA Push proxy, wireless applications protocol (WAP) proxy or a proxy acting as a firewall, network/application filter, providing NAT and other security functions such as border control. In an illustrative embodiment the proxy sits in between a client and server and can act as a client as well as server depending on its functions.
The product interest correlation score for such categories is then weighted appropriately for the subscriber to reflect this interest. The user profile setting includes but is not limited to user profile data and user profile settings 206, 208 and 210. User profile data includes but is not limited to ages, family size, ethnicity, language spoken, address, subscriber user identifiers for family members, etc. User profile settings may also include but are not limited to multiple screens or device opt-in settings for selecting access devices through which a subscriber 102 is willing to allow advertising to be received 208. User profile settings may also include privacy (opt-in) settings defining specifically what categories of advertising may be received, and in what format 208. User profiles may also include proactive product interest input 210 provided by a subscriber. The web spidering process described herein is for example only and not intended to limit the scope of the disclosure as a number of different spidering or assessment techniques can be utilized as well as a number of different methods for assessing a subscriber's intent by analyzing and assessing a subscriber's web surfing URls visited, telephone numbers called, IM and other activities, all of which are included herein under the term “spidering”.
Advertisers can place advertisements in multiple media and formats, including text only, audio, HTML, and video that can be rendered to multiple access devices used by the subscriber as appropriate. Several criteria are used to determine advertisement placement or delivery and delivery timing for subscribers. The criteria for determining advertisement placement or selection and delivery to a subscriber can include but are not limited to location data, product interest correlation score data, current usage scenario (e.g., watching an IPTV show, listening to internet radio, playing a game, driving near a product advertiser physical location) and time of day. For example, an advertiser may place an auction bid for a price to send a text message advertisement to cell phones to reach the first 2000 14-18 year old boys between 5 and 9 pm on weekends who are within 5 miles of a shopping mall-location having a product interest correlation score for a particular video game exceeding a product interest correlation score threshold of 50.
In another example, an advertiser may want to send an IPTV video advertisement on subscriber IPTV displays for a Karaoke machine during showing of a television show, e.g., American Idol to everyone that is watching American Idol on IPTV (live or in replay) and that called in (or sent a text message) to vote on an American Idol contestant and have a product interest correlation score in a product category greater than a product interest correlation score threshold of 90. Other people watching American Idol who called in to vote and having a product interest correlation score greater than 50 and less than 90 could be sent a text advertisement on their IPTV display for the Karaoke machine.
Product interest correlation scoring aggregates weighting and scoring for web surfing history, behaviors and context across multiple devices including more detailed knowledge of what transactions/interests were actually conveyed by subscriber web surfing and behavior. A web spidering (spidering) system matches subscriber accessed URis anonymously with a subscriber's inferred intent by way of checking a dynamic database of URis for specific sites that have been compiled through the web spidering process 214. The illustrative embodiment provides a classification system that schedules and conducts a web spidering procedure, in which procedure, web sites are scanned and specific URls that have been visited by a subscriber are categorized based on perceived or inferred intent of anyone accessing the URI, by using, e.g., natural language parsing and processing techniques. For example, the spidering system can anonymously ascertain that not only did a subscriber visit a car manufacturer's web site to look at cars; the subscriber actually looked at the product-page for a particular model in detail and requested mailing of a product brochure. The subscriber's inferred intent (in this case purchasing a Toyota Camry) derived by the web spidering system increases the subscriber's product interest correlation score for a product category for Toyota Camry.
Auction-based advertising across multiple screens or access devices based on a correlation or comparison of the advertisement product category with the product interest correlation score for the product/service for a particular subscriber allows advertisers to tightly control and select what degree of advertisement contact should be made with a subscriber (e.g., one to one TV advertisement, text message to phone) and what price contacting that subscriber with an advertisement is worth. For example, in an example of contextual information, a person who has already received a video one to one TV advertisement may be sent a lower cost text advertisement as a reminder rather than paying to send another higher price video advertisement to the subscriber. Once an advertisement type has been selected for the selected advertisement type in a given product category for a subscriber or a group of subscribers, auction based advertisements can be based on interactive bids between competing advertisers.
Subscriber-defined product and service interests along with privacy settings enable subscribers to control what information they are willing to have monitored and used by the AK.MS 108 for targeting advertisements to them, and what information they are willing to receive (e.g., on which access devices, from which advertiser product interest categories, at what times). Digital purchase history 216 plus brick and mortar purchases bought with electronic wallet (eWallet) credentials help corroborate additional product interest information on behalf of the subscriber by tracking purchase data for the subscriber. Subscriber digital purchase history information keeps track of on-line purchases and purchases at retail outlets when an associated electronic wallet capability is used (eWallet).
Subscriber location is based on wireless networks (WiFi, WiMAX) or the fact the subscriber is located at home using high-speed Internet access assists advertisers in determining how receptive the subscriber might be to their advertisement/product at that time. The more receptive subscriber is given a greater weight in their product interest correlation score.
The illustrative embodiment AKMS 108 aggregates data from multiple sources to provide a centralized storage for Intelligent Correlation and Scoring System (ICSS) regarding determining the appropriate advertisements to target a subscriber at a specific time. The illustrative embodiment AKMS 108 includes the ICSS 212. Inputs to the ICSS 212 include an Internet profiling database 204 which supplies the surfing and content consumption history for the subscriber across multiple access devices; an advertiser index database 220 which maintains substantially all advertising related information including what advertisements have been sold, along with digital versions of various IP-based advertisements; a purchase history 216 for the subscriber that includes purchases made electronically online, plus and brick and mortar retail purchases that may be able to be tracked to the subscriber via the subscriber using the electronic wallet (eWallet) that are tied to his subscriber sign-on identity; subscriber profile settings 209 that provide the subscriber the chance to define privacy settings by opt ins or by other privacy control settings on their internet browser, for example, with regard to what types of advertisements the subscriber wants to receive, plus how much of the subscriber's usage history can be monitored and used to drive the targeted advertising process; and a web spidering process 212 that provides more definitive information on what specific URI links within web sites convey about the surfing and purchase history for the subscriber. Subscriber profile settings can be used to define product interests, how much on-line usage information can be shared and with whom, and under what conditions a subscriber wishes to receive an advertisement.
An advertiser index database is provided that assimilates, accesses, and stores data for advertising sales records including available slots (spots) for television advertisements, Internet advertisements, radio (audio) advertisements, and paper and digital yellow pages advertisements. The advertiser index database also stores information and data on registered advertisers and their advertisements including product category, various media versions of advertisements, auction prices for each media mode of delivery (audio, video, text), each access device type, coupon offers, location based offers, and product interest correlation score threshold settings that define the conditions for which specific advertisements should be delivered to a specific subscriber having a certain product interest correlation score.
The illustrative embodiment AK.MS provides targeted advertising using multiple media types (e.g., video, HTML and associated browser plug-ins like flash, audio, text). Subscribers can input product interest criteria including product or service category, advertisement delivery scheduling deadline, and desired delivery access device (e.g., cell phone, PC, IP-based television service, mobile IP device). An interactive and/or dynamic web based interface (e.g., XML) to advertisers is provided to enable advertisers to dynamically in real time update advertising offers, auction prices, and threshold settings data for determining when an advertisement in a given product category should be delivered to a particular subscriber. This data is stored in the advertiser detail information 218.
Independent of the specific dynamic process of keeping the product interest correlation scores in a product interest correlation scoring matrix including but not limited to product categories and product interest correlation scores for the product categories, the spidering process 214 can occasionally be run as a supporting process, scanning the Internet (similar to search engine engines) and classifying web links based on implied intent of subscribers visiting the page. Rather than indexing for search, in an illustrative embodiment the spidering process provides the AKMS with categorization information. For example, at a particular time the URI of http://www.buyatoyota.com/zipCodeEntry.aspx?zip code=78726&series code=25&series name=&model code=&s van=GM_STN_FLS can be logged in the web spidering results database and used to ascertain that anyone accessing this link is not only interested in a particular car model, but actually was serious enough to inquire about local dealers and associated offers in their area. This can be determined by the spidering system employing a combination of indexing and natural language parsing and processing of text the spidering system finds on the page. This spidering information can be used to create a high product interest correlation “contribution” score for Autos→By Make→Manufacturer→Model as well as Autos→By Style→Sedans→Midsize→Manufacturer Model. When a subscriber subsequently surfs to this link, the “contribution” score can be added to the subscriber's current product interest correlation score for this particular category. It should be noted that such a detected interest would increase the product interest correlation scores at each leg of the tree for both paths for which the manufacturer's model is a terminal value.
In an illustrative embodiment, the components and processes defined herein as part of the illustrative system and method AKMS 108 are intended for processing in real time as events occur. The associated modules that support the AKMS 108 provides messaging to the ICSS 212 interactively (e.g. via XML or a web services framework) so a product interest correlation scoring matrix can be updated for the subscriber in real time. The product interest correlation scoring matrix contains data indicating a product interest correlation score for a number of products and categories.
A significant amount of product interest information for each subscriber is obtained by the Internet profiling process 230 that is capable of receiving subscriber event data indicating subscriber surfing history from independent network service providers, including wireless 3G cellular, DSL, cable modem, broadband fiber, and IPTV. In an illustrative embodiment the Internet profiling process 230 employs a media controller that is capable of logging URis visited within a subscriber's web browser, and/or performing deep packet inspection when desired to ascertain specific content and/or services that are being consumed by a subscriber over the Internet, and assesses packet flows to the subscriber to gauge more specifically what types of activities are being performed (e.g., services of interest, specific services/applications run, duration, location, etc.). (Media controllers that perform flow based packet analysis, available from vendors like Caspian Networks, can be used for this purpose.)
Regardless of access network and device used, the profiling process 230 usually will be able to identify the subscriber via single sign-on (SSO) credentials, and then maintains a URI history log for the identified subscriber. The SSO credentials can be defined and cached in the access device (e.g. television set top box, cell phone, PC, laptop, etc.) to avoid requiring the subscriber to sign in each and every time the Internet is accessed with such a device. This would likely be managed by an HTML cookie or similar mechanism to “time out” the login credentials if desired for security purposes. Alternatively, unique identifying information obtained from the access device (e.g. cellular phone number, MAC address, product serial number) may be used to infer SSO credentials. The Internet profiling process 230 would typically reside in the IP network 106, specifically in the routing framework providing Internet access, The routing framework provides a centralized point to monitor and profile subscriber surfing history, traffic characteristics, port usage, etc. with which to monitor activities by the subscriber. This information would only be used based on positive privacy allowance or opt-in settings 206 defined by the subscriber allowing specific monitoring permissions. It is likely that profile subscriber history data information may be obtained from disparate access networks, even those operated by independent network service providers, which may be combined to make a “complete view” (stored in a user profile) of subscriber usage history across multiple access devices and networks plausible. The internet profiling process 230 also includes the ability to accept data feeds (e.g. in XML or other suitable data format) from other network providers that summarize the subscriber historical usage and Internet surfing information data obtained from profiling processes within their own independent network.
Turning now to
The illustrative ICSS 101 maintains a detailed, hierarchical categorization that is dynamically extensible as new product categories materialize in the marketplace. For example, one example category tree navigation to find Toyota® Camry® cars would be Autos 302→By Style 304→Sedans 308→Midsize 310→Toyota® Camry® 312. Similarly, another way to find Toyota® Camry® might be via Autos→By Make→Toyota® →Toyota® Camry®. Beneath the Camry® category there could be additional categorization for interest in new versus used models. If some activity on behalf of the subscriber causes the ICSS 101 to conclude that there is product interest in the Camry®, the corresponding correlation score for Camry® would increase for the subscriber.
It should be noted that such a detected interest would increase the product interest correlation scores at each leg of the tree for all paths (e.g. Autos 302→By Make 306→Toyota®→Camry® as well as Autos→By Style→Sedans→Midsize→Toyota® Camry®) for which Camry® is a terminal value.
Example technologies that can used to facilitate the messaging to the ICSS 101 to accomplish its correlation scoring procedure include but are not limited to extended markup language (XML), RDF, DAML and OIL. A total product interest correlation score is calculated by factoring in demonstrated levels of interest in a particular product category via a variety of usage patterns for a subscriber. The magnitude of the correlation score stored in the product interest correlation score matrix accessible to the ICSS 101 for one particular category for the subscriber defines a subscriber's interest level in a product or product category. In practice the final product interest correlation score is tallied by evaluating surfing habits, TV viewing habits, personal profiles expressing proactive product interest, phone calling logs/habits, content of other communications tasks like IM, electronic mail, video telephony, and previous purchases. Timing, frequency, and access of multiple unrelated pieces of information having some correlation to the category are all factored into computing the total correlation score for a category.
Next, an access device characteristic identification 402 occurs. This step determines whether the characteristics of the device currently being used by the subscriber for Internet access are known. This may be validated by checking a medium access control (MAC) address or a database table which records previous access devices used by the subscriber, sorted by MAC address. If the subscriber access device characteristics are known, device parameters including screen resolution, audio/video capabilities, supported advertisement modes (e.g. TV advertisement, audio advertisement, web browser advertisement, MMS, SMS, phone call) are loaded. If device characteristics are not known, the process interrogates the subscriber and/or access device to obtain device characteristics from subscriber, and these characteristics are then incorporated into a device database table in memory for future use.
After some time, a subscriber begins to interact with IP network application or begins to consume content over the IP network. Details regarding the information/application being consumed are communicated to the AKMS 108. One example would be the subscriber selecting “Travel Channel” to watch on the IPTV service. The channel is broadcasting a show on the ruins of Rome. This information is communicated to AKMS 108. At block 403 an illustrative embodiment determines what the subscriber is actually doing at the moment, including but not limited to watching an IPTV stream, browsing the Internet, chatting, IM, talking on a cell phone, moving close to an advertiser location or perhaps doing nothing.
The AKMS 108 now carries out the following actions—first, AKMS accesses the advertisement detail information and determines the future anticipated spot (and time) 410 for the advertisement—the commercial window in the content to place advertisements. Second, it reviews historic behavior 412 of the subscriber relative to the subject—in this case traveling. For example, did the subscriber recently shop for tickets or hotels on the web or via the phone? If so, did the shopping action consummate in a transaction? Does the subscriber have frequent flyer miles? Has the subscriber indicated preferences regarding receiving travel related promotions? what is the subscriber's preference for dining and hotels and transportation? What is the likelihood of the subscriber to consume complementary products? How large is the subscriber's family? It should be noted that the review of historic behavior 412 is not limited to the subscriber's current usage mode 403. The subscriber's history of use may have resulted in a high product category score for something totally unrelated to the “Travel Channel,” for which an advertiser is willing to pay an acceptable price for delivering the advertisement in a format that the subscriber's current access device characteristics 402 are best suited for. There also may be advertisements queued for delivery on such a device based on past usage modes 403.
Third, the AKMS reviews the advertiser index database 414 to determine whether there is any advertiser on the related subject, complementary subject, or even a product unrelated to the current subscriber behavior that has an advertisement for a product category in which the subscriber has a high product correlation score, who desires to send an advertisement to this subscriber at this moment or at a later time. For example, are any airlines, hotels, restaurants, cruises, travel agents, etc. complementary to this subject? Is there an advertisement/promotion specifically for Rome? What is the advertiser's willingness (auction bid) to pay for the advertisement to be delivered, based on the product interest correlation score of the subscriber for travel, specifically to Rome? Which advertiser is the highest bidder? Is there a high bidder who wants to deliver an advertisement well suited for the current access device or suited for delivery at a later time, given there is a high product correlation score that gives the advertiser reason to believe the subscriber may be interested in their product regardless of current subject inferred through subscriber use? Fourth, information from steps two and three above are fed into the ICSS 212 and the current product interest correlation score for the user (periodically updated by recent event data), advertiser bid prices and viable formats based on the device characteristics 402 are used to generate a list of potential advertisement 416 to be sent to a subscriber either now or later. Note that this is not just matching the historic behavior 412 with the related advertising offers 414, but also associating other contextual information about the subscriber (example, presence, location, etc.) and advertiser (example, ranking, advertiser auction bid, willingness to pay, etc.). Such contextual information can include (but is not limited to) access device capabilities, subscriber's preference for style and format of an advertisement, advertiser's capabilities to deliver such an advertisement, subscriber location, subscriber profile settings, product interest correlation score, and current usage scenario, etc. The current usage scenario for a subscriber includes but is not limited to the activity in which a subscriber is currently involved (including but not limited to web surfing, chatting, IM, web logging (blogging), telephone calls, etc.) the access device being used (including but not limited to cell phone, PDA, laptop computer, personal computer, mobile IP devices, etc.) and location.
The AKMS 108 then selects 418 which advertisement from which advertiser to place and in which format to send the advertisement to the subscriber access device (and on which access device) within the commercial spot (advertisement window) during the show or otherwise. This may involve sorting of the list, automated negotiation with advertisers in real time (or more likely a software agent defining bid rules and criteria for approving the sale of the advertisement) to dynamically negotiate auction bids for one advertiser or between two competing advertisers bidding against each other, etc.
The advertisement is then presented 420. The advertisement is rendered within the IP stream at the local, regional or central content delivery end in the IP network. Specific media format conversions are carried out and the final advertisement is generated and sent to a selected subscriber access device. Any interaction 422 resulting from the advertisement is captured and stored. Additional computations or fine tuning of the product interest correlation score (and associated list of advertisements) may be performed for the next commercial spot.
In the case where the subscriber accesses a web page, content, or an IP-based service from any access device including personal computer (PC), IPTV set top box (STB), cell phone, etc. an event record detailing what the subscriber accessed from their access device is created. The ICSS 101 receives an event detail record 502 containing data from the Internet profiling process.
The ICSS 212 then performs a database search 504 of the URI or associated event data in the spidering results database 214. If the URI or other event exists in the database, the specific product categories affected by the event are retrieved 506 along with their associated product interest correlation scores and updated in the product interest correlation score matrix for the subscriber. Historic information regarding frequency and timing of previous accesses in this category is then obtained and used to “weight” a contribution score 508 accordingly. For each category in the product interest correlation score matrix, a corresponding contribution score is added to the current product interest score 510 for the particular subscriber.
A detail record is then created in the AKMS database block 512 representing this new information. (Note: The detail records for a particular subscriber and product or product category within the subscriber's product interest correlation score matrix can be used to re-create the current product interest correlation score for that category from scratch if desired). This can be implemented via physical and virtual schemas or database views such as in RDBMS, XML databases or object oriented databases, taxonomies or semantic resource descriptions using XML or RDF.
In the case where there is a television viewing event, the TV viewing history scanning process sends data representing a log of all television programming watched by the viewer 520, including commercials for which the subscriber may have responded to interactive components of the advertisement via clicks on the remote control 522 button. Similarly, data indicating commercials that were paused, rewound and viewed again, etc. can be sent to the AKMS 108. The television event includes, but is not limited to, watching a broadcast programming event and viewing a program stored on a digital video recorder.
In the case where a phone call has been placed, the phone calling log history process as part of the Internet profiling process 230 takes a digital call log 530 from a PSTN phone, cell phone, VoIP phone, or combination thereof and performs reverse number look-ups 532 from a directory listing database to ascertain what merchants may have been called. The merchant information is returned 534, which the AKMS 108 uses to look up the corresponding product categories 536 for the merchant, updating the product interest score 538 for each product interest category. Additionally, the communications history 238 may include other digital communication methods including IM, electronic mail, and video telephony/conferencing. Similar to the parsing and natural language processing techniques used by the web spidering process 214 to assess product category interest intent by the subscriber, text from IM and electronic mail applications could similarly be parsed for product interest categorization. Categorization based on video telephony/conferencing could additionally employ speech recognition technology.
Product interest categories are essentially unlimited but may be represented by general categories including but not limited to sports, fashion, business, movies, etc.
In the case of a digital purchase, a digital purchase transaction record is sent 540 from the eWallet transaction engine to the AKMS 108. In case where the cell phone or mobile subscription is used as a form of currency (or eWallet), such transaction associated with billing the subscriber mobile account is also captured. The AKMS 108 can use stock keeping unit (SKU) number of product(s) purchased and map the SKU numbers to specific product interest categories 542. The system then determines if this purchase represents a “deal-killer event” 544 for certain product categories. For example, if the item is not perceived to be a quickly perishable item and may impact future purchase opportunity in a specific category (e.g. customer finally buys the Toyota® Camry®) the product interest correlation score for that category within the subscriber's matrix is reduced, if not zeroed out or blocked in its entirety for a period. Similarly, the system assesses whether there are complementary products 546 related to the digital purchase. Products known to be complementary to the purchase have product interest scores increased by a pre-defined “contribution” to the score.
It should be noted that any of preceding cases can be logged by the respective module, and transferred in bulk for handling by the AKMS 108 in batch mode on a scheduled basis also. In the more ideal dynamic mode for Internet profiling, for example, each URI visited or other event detected by the flow-based analysis process within the media controller would immediately send a message to the AKMS 108 so that the AKMS can treat each new piece of information or event in real-time and thus quickly provide an accurate product information scoring summary for the subscriber in real time. Alternatively, some information may be obtained in non real time—examples include data feeds from third party access networks, or perhaps a transaction log from another service (e.g. phone calling log) that is not capable of providing information in real time.
The steps that follow encompass setting the personal profile settings; including obtaining what information they are willing to have stored in the subscriber profile settings and used to help generate product interest correlation scores. It is important to note from a privacy perspective that none of this information is shared with advertisers by default; rather it is stored and used internally by the AKMS 100 to generate product interest correlation scores.
Obtaining “opt in” (privacy setting) information 608 lets the subscriber enter data to select whether the event data can be used internally by the AKMS 100 to help in the advertisement targeting process: e.g., phone calling log; Internet surfing log for specific devices; TV viewing history; interactive television clicks; electronic mail, IM, video telephony, application usage and digital purchase history. The subscriber is also capable of changing opt in permissions for the AK.MS to utilize any of the above information at any time, and even suspend its use temporarily if desired.
Obtaining what information the subscriber wants to receive 610 allows subscribers to create not only an approved “global” solicitation subscriber profile for advertisers, but can also customize advertising delivery methods based on product categories. Subscribers can thus personalize and select whether they wish to receive targeted TV advertisements, targeted Internet advertisements (banners in the browser, pop-ups, etc.) to their PC or laptop, text messages (SMS) and/or Multimedia messages (e.g. MMS) to their cell phone, electronic mail messages, audio recordings sent via a computer telephony system to the subscriber's phone, direct contact, and U.S. mail and electronic coupon offers.
Obtaining which categories and product categories in which the subscriber is proactively interested in receiving information on 612 lets subscriber select categories of interest for which they would like to be solicited with targeted advertisements and coupon offers. Subscribers can always update their proactive product category interests subsequent to this initial enrollment.
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The long haul transport network 904 relays the video and data signal to the video hub office 906 (e.g., metro office that receives video and data from super video head end (HE) and inserts local channels). The video hub office 906 relays the signal to the regional transport network 908 (e.g. Gigabit Ethernet). The regional transport network 908 relays the signal to the video serving office 910 (e.g. Telco Central Office delivering voice, data, and video to neighborhoods via Gigabit Ethernet links). The video serving office 910 relays the signal to the access network 912 (e.g. fiber to the Home Network, fiber to the Node Network with very high data rate video subscriber line (VDSL) delivery to the home). The access network 912 relays the signal via a fiber optic link (if fiber to the home {FTTH) is used to carry the video and data) or telephone wiring (if fiber to the node (FTTN) is used to carry the video and data) 926 to the network interface device (NID) 914. The NID 914 relays the signal via the coaxial cable 922 to a gateway such as a residential gateway (RG) 916. The AKMS includes a processor 130 coupled to memory 132 and database 134 in memory. A computer readable medium containing instructions that can be executed by the processor is embedded in the memory. From the RG 916 the signal is relayed via the coaxial cable 922 to the coaxial splitter 920, which splits the signal via coaxial cables 922 to an STB 918, and other television sets on the home network. The signal can also be sent to laptop computers 924. The above example is for illustration only and can be implemented in numerous different ways in an IPTV system.
Turning now to
The disk drive unit 1016 may include a machine-readable medium 1022 on which is stored one or more sets of instructions (e.g., software 1024) embodying any one or more of the methodologies or functions described herein, including those methods illustrated in herein above. The instructions 1024 may also reside, completely or at least partially, within the main memory 1004, the static memory 1006, and/or within the processor 1002 during execution thereof by the computer system 1000. The main memory 1004 and the processor 1002 also may constitute machine-readable media. Dedicated hardware implementations including, but not limited to, application specific integrated circuits, programmable logic arrays and other hardware devices can likewise be constructed to implement the methods described herein. Applications that may include the apparatus and systems of various embodiments broadly include a variety of electronic and computer systems. Some embodiments implement functions in two or more specific interconnected hardware modules or devices with related control and data signals communicated between and through the modules, or as portions of an application-specific integrated circuit. Thus, the example system is applicable to software, firmware, and hardware implementations.
In accordance with various embodiments of the illustrative embodiment, the methods described herein are intended for operation as software programs running on a computer processor. Furthermore, software implementations can include, but not limited to, distributed processing or component/object distributed processing, parallel processing, or virtual machine processing can also be constructed to implement the methods described herein.
The illustrative embodiment contemplates a machine readable medium containing instructions 1024, or that which receives and executes instructions 1024 from a propagated signal so that a device connected to a network environment 1026 can send or receive voice, video or data, and to communicate over the network 1026 using the instructions 1024. The instructions 1024 may further be transmitted or received over a network 1026 via the network interface device 1020.
While the machine-readable medium 1022 is shown in an example embodiment to be a single medium, the term “machine-readable medium” should be taken to include a single medium or multiple media (e.g., a centralized or distributed database, and/or associated caches and servers) that store the one or more sets of instructions. The term “machine-readable medium” shall also be taken to include any medium that is capable of storing, encoding or carrying a set of instructions for execution by the machine and that cause the machine to perform any one or more of the methodologies of the illustrative embodiment. The term “machine-readable medium” shall accordingly be taken to include, but not be limited to: solid-state memories such as a memory card or other package that houses one or more read-only (non-volatile) memories, random access memories, or other re-writable (volatile) memories; magneto-optical or optical medium such as a disk or tape; and carrier wave signals such as a signal embodying computer instructions in a transmission medium; and/or a digital file attachment to e-mail or other self-contained information archive or set of archives is considered a distribution medium equivalent to a tangible storage medium. Accordingly, the illustrative embodiment is considered to include any one or more of a machine-readable medium or a distribution medium, as listed herein and including art-recognized equivalents and successor media, in which the software implementations herein are stored.
Although the present specification describes components and functions implemented in the embodiments with reference to particular standards and protocols, the illustrative embodiment is not limited to such standards and protocols. Each of the standards for Internet and other packet switched network transmission (e.g., TCP/IP, UDP/IP, HTML, and HTTP) represent examples of the state of the art. Such standards are periodically superseded by faster or more efficient equivalents having essentially the same functions. Accordingly, replacement standards and protocols having the same functions are considered equivalents.
This application is a divisional of U.S. patent application Ser. No. 11/405,969, filed Apr. 18, 2006. All sections of the aforementioned application(s) and/or patent(s) are incorporated herein by reference in their entirety.
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| Number | Date | Country | |
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| Number | Date | Country | |
|---|---|---|---|
| Parent | 11405969 | Apr 2006 | US |
| Child | 16995653 | US |
