Abstract: Assets of broadcast network content are targeted to network users of interest based on location information regarding user equipment devices. Asset providers can specify location targeting criteria via a graphical user interface displaying mapping information. This location targeting criteria can then be compared to location information regarding user equipment devices so that assets are delivered to appropriate devices. The comparison of the location targeting criteria to the device location information can be performed at the user equipment devices or at another location. In the latter case, the assets can be addressed to appropriate user equipment devices or appropriate user equipment devices can be directed to select the asset, which is broadcast via the network. In this manner, assets can be targeted to individual network users on a basis independent of network topology.

Abstract: Assets of broadcast network content are targeted to network users of interest based on location information regarding user equipment devices. Asset providers can specify location targeting criteria via a graphical user interface displaying mapping information. This location targeting criteria can then be compared to location information regarding user equipment devices so that assets are delivered to appropriate devices. The comparison of the location targeting criteria to the device location information can be performed at the user equipment devices or at another location. In the latter case, the assets can be addressed to appropriate user equipment devices or appropriate user equipment devices can be directed to select the asset, which is broadcast via the network. In this manner, assets can be targeted to individual network users on a basis independent of network topology.

Abstract: Assets of broadcast network content are targeted to network users of interest based on location information regarding user equipment devices. Asset providers can specify location targeting criteria via a graphical user interface displaying mapping information. This location targeting criteria can then be compared to location information regarding user equipment devices so that assets are delivered to appropriate devices. The comparison of the location targeting criteria to the device location information can be performed at the user equipment devices or at another location. In the latter case, the assets can be addressed to appropriate user equipment devices or appropriate user equipment devices can be directed to select the asset, which is broadcast via the network. In this manner, assets can be targeted to individual network users on a basis independent of network topology.

Abstract: A request for information (RFI) system is provided for use in communications networks including broadcast networks and the Internet. In one implementation, a code identifying an item of media content of interest (e.g. television, newspaper, magazines, billboards, radio) is captured and input to an RFI system that includes stored media tags and a search tool for matching inputs to the stored media tags. Upon receipt of the captured code, the RFI system matches the captured code with the stored media tags and provides a response to the user based on the match. The response may include or relate to follow-on or premium information relating to the content of interest. Using this information, an RFI data center or an RFI platform may credit value to a rewards account established for the network user based on the user's verified consumption of assets and/or data requests.

Abstract: Asset options are multiplexed into a multicast stream. In one implementation, a single stream (300) includes programming (306) and assets (302). A user equipment device delivers one of the assets (302) for delivery in connection with an asset delivery opportunity. The stream (300) also includes metadata (304) to assist the user equipment device in selecting the asset for delivery. Targeted advertising can thus be implemented in shared stream environments while efficiently using available bandwidth.

Abstract: The present invention provides targeted asset system implementations in contexts where there is limited or no ability to use a real-time return channel for communications from user equipment devices (e.g., STB) to the network. In one arrangement, a household classifier is generated and delivered to user equipment devices. The household classifiers are generated based on third party data and/or network usage information associated with the household. The system and method allow for generating highly accurate household classifications that may be forwarded to individual households where the user equipment device may implant the classifiers to select appropriate assets for delivery to the household.

Abstract: Systems and methods are presented for the delivery of targeted assets in a scheduled programming network in the context of several content distribution systems, including switched digital, unicast, multicast, and hybrid unicast/multicast content distribution systems. Assets may be targeted to network users in connection with the scheduled network programming, and further, successful delivery of those targeted assets may be confirmed. In this regard, the systems and methods generally select targeted assets from a remote platform and, in some instances, to deliver those targeted assets from the remote platform. The assets may be selected based on demographic or other information obtained from an external source and/or based on monitoring user inputs. In the latter regard, the classification of an audience can be based at least in part on monitoring communications to the remote platform conventionally used for other purposes.

Abstract: The present invention provides targeted asset system implementations in contexts where there is limited or no ability to use a real-time return channel for communications from user equipment devices (e.g., STB) to the network. In one arrangement, a household classifier is generated and delivered to user equipment devices. The household classifiers are generated based on third party data and/or network usage information associated with the household. The system and method allow for generating highly accurate household classifications that may be forwarded to individual households where the user equipment device may implant the classifiers to select appropriate assets for delivery to the household.

Abstract: Assets of broadcast network content are targeted to network users of interest based on location information regarding user equipment devices. Asset providers can specify location targeting criteria via a graphical user interface displaying mapping information. This location targeting criteria can then be compared to location information regarding user equipment devices so that assets are delivered to appropriate devices. The comparison of the location targeting criteria to the device location information can be performed at the user equipment devices or at another location. In the latter case, the assets can be addressed to appropriate user equipment devices or appropriate user equipment devices can be directed to select the asset, which is broadcast via the network. In this manner, assets can be targeted to individual network users on a basis independent of network topology.

Abstract: A broadcast targeting system is provided where third party database information is utilized in conjunction with broadcast network client information to identify households within the broadcast network including one or more desired recipients of targeted assets. In instances where a user equipment device of the targeted household includes multiple users (i.e., a multiple-user device), use of third party data in conjunction with an indication of which household member is currently using the multiple user device (e.g., set top box, etc.) allows for more effectively delivering assets targeted to a specific member(s) of the household.

Abstract: Assets of broadcast network content are targeted to network users of interest based on location information regarding user equipment devices. Asset providers can specify location targeting criteria via a graphical user interface displaying mapping information. This location targeting criteria can then be compared to location information regarding user equipment devices so that assets are delivered to appropriate devices. The comparison of the location targeting criteria to the device location information can be performed at the user equipment devices or at another location. In the latter case, the assets can be addressed to appropriate user equipment devices or appropriate user equipment devices can be directed to select the asset, which is broadcast via the network. In this manner, assets can be targeted to individual network users on a basis independent of network topology.

Abstract: A request for information (RFI) system is provided for use in communications networks including broadcast networks and the Internet. In one implementation, a code identifying an item of media content of interest (e.g. television, newspaper, magazines, billboards, radio) is captured and input to an RFI system that includes stored media tags and a search tool for matching inputs to the stored media tags. Upon receipt of the captured code, the RFI system matches the captured code with the stored media tags and provides a response to the user based on the match. The response may include or relate to follow-on or premium information relating to the content of interest. Using this information, an RFI data center or an RFI platform may credit value to a rewards account established for the network user based on the user's verified consumption of assets and/or data requests.

Abstract: A broadcast targeting system is provided where third party database information is utilized in conjunction with broadcast network client information to identify households within the broadcast network including one or more desired recipients of targeted assets. In instances where a user equipment device of the targeted household includes multiple users (i.e., a multiple-user device), use of third party data in conjunction with an indication of which household member is currently using the multiple user device (e.g., set top box, etc.

Abstract: The present invention provides targeted asset system implementations in contexts where there is limited or no ability to use a real-time return channel for communications from user equipment devices (e.g., STB) to the network. In one arrangement, a household classifier is generated and delivered to user equipment devices. The household classifiers are generated based on third party data and/or network usage information associated with the household. The system and method allow for generating highly accurate household classifications that may be forwarded to individual households where the user equipment device may implant the classifiers to select appropriate assets for delivery to the household.

Abstract: A broadcast targeting system is provided where third party database information is utilized in conjunction with broadcast network client information to identify households within the broadcast network including one or more desired recipients of targeted assets. In instances where a user equipment device of the targeted household includes multiple users (i.e., a multiple-user device), use of third party data in conjunction with an indication of which household member is currently using the multiple user device (e.g., set top box, etc.) allows for more effectively delivering assets targeted to a specific member(s) of the household.

Abstract: A targeted advertising system selects an asset (e.g., ad) for a current user of a user equipment device (e.g., a digital set top box in a cable network). The system can first operate in a learning mode to receive user inputs and develop evidence that can characterize multiple users of the user equipment device audience. In a working mode, the system can process current user inputs to match a current user to one of the identified users of that user equipment device audience. Fuzzy logic and/or stochastic filtering may be used to improve development of the user characterizations, as well as matching of the current user to those developed characterizations. In this manner, targeting of assets can be implemented not only based on characteristics of a household but based on a current user within that household.

Abstract: A targeted advertising system selects an asset (e.g., ad) for a current user of a user equipment device (e.g., a digital set top box in a cable network). The system can first operate in a learning mode to receive user inputs and develop evidence that can characterize multiple users of the user equipment device audience. In a working mode, the system can process current user inputs to match a current user to one of the identified users of that user equipment device audience. Fuzzy logic and/or stochastic filtering may be used to improve development of the user characterizations, as well as matching of the current user to those developed characterizations. In this manner, targeting of assets can be implemented not only based on characteristics of a household but based on a current user within that household.

Abstract: A targeted advertising system uses a machine learning tool to select an asset for a current user of a user equipment device, for example, to select an ad for delivery to a current user of a digital set top box in a cable network. The machine learning tool first operates in a learning mode to receive user inputs and develop evidence that can characterize multiple users of the user equipment device audience. In a working mode, the machine learning tool processes current user inputs to match a current user to one of the identified users of that user equipment device audience. Fuzzy logic may be used to improve development of the user characterizations, as well as matching of the current user to those developed characterizations. In this manner, targeting of assets can be implemented not only based on characteristics of a household but based on a current user within that household.

Abstract: Assets of broadcast network content are targeted to network users of interest based on location information regarding user equipment devices. Asset providers can specify location targeting criteria via a graphical user interface displaying mapping information. This location targeting criteria can then be compared to location information regarding user equipment devices so that assets are delivered to appropriate devices. The comparison of the location targeting criteria to the device location information can be performed at the user equipment devices or at another location. In the latter case, the assets can be addressed to appropriate user equipment devices or appropriate user equipment devices can be directed to select the asset, which is broadcast via the network. In this manner, assets can be targeted to individual network users on a basis independent of network topology.

Abstract: A targeted advertising system selects an asset (e.g., ad) for a current user of a user equipment device (e.g., a digital set top box in a cable network). The system can first operate in a learning mode to receive user inputs and develop evidence that can characterize multiple users of the user equipment device audience. In a working mode, the system can process current user inputs to match a current user to one of the identified users of that user equipment device audience. Fuzzy logic and/or stochastic filtering may be used to improve development of the user characterizations, as well as matching of the current user to those developed characterizations. In this manner, targeting of assets can be implemented not only based on characteristics of a household but based on a current user within that household.