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 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: 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: 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 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: 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: The present invention involves a system, apparatus, and method for providing private in-band data to digital set-top boxes in a broadcast environment. In one example, a digital set-top box conforming to the present invention includes one or more programmatic identifiers, such as a manufactures identification, a product identification, and software application identifications. On a channel and at a time, the set-top box receives a broadcast transmission of in-band update data, such as profile data or software code, with matching identifiers. Upon receipt of the broadcast transmission having matching identifiers, the in-band update data is stored in a memory of the set-top box or the appropriate application is modified.

Abstract: The present invention involves a system, apparatus, and method for providing private in-band data to digital set-top boxes in a broadcast environment. In one example, a digital set-top box conforming to the present invention includes one or more programmatic identifiers, such as a manufactures identification, a product identification, and software application identifications. On a channel and at a time, the set-top box receives a broadcast transmission of in-band update data, such as profile data or software code, with matching identifiers. Upon receipt of the broadcast transmission having matching identifiers, the in-band update data is stored in a memory of the set-top box or the appropriate application is modified.

Abstract: A technique for optimizing the delivery of a multiplicity of advertisements and other programming is provided by trading off full-motion video for other forms of high quality still images, text, graphics and audio. By creating a group of synchronized digital programming components, for example, still-frame video, audio, graphics, text, animation, and media objects, which combined utilize less bandwidth than a standard digital programming segment of full-motion video with CD quality audio, a greater number of differentiable programming content options can be made available in the digital transmission stream. Because of the greatly expanded amount of differentiable content that can be created using the bandwidth tradeoff techniques, greater precision in targeting particular content, such as advertisements, to particular users is possible.

Abstract: A system and method for providing and redeeming electronic paperless coupons. Electronic coupons in accordance with the present invention are typically generated by a content or online services provider and retrieved by a consumer. In one embodiment, the electronic coupon may be embedded in a video or audio program received and enjoyed by the consumer, while in another embodiment, the coupon may be transmitted via a separate signal. A variety of devices, including televisions, set-top boxes, personal computers (PCs), and so forth may be used to request, receive, and/or redeem electronic coupons. Electronic coupons may be transmitted across a packet switched network, the Internet, an intranet, a local area network, a circuit switched network, a landline based telephone system, dedicated fiber-optic lines, a cellular network, a combination circuit switched and packet switched network, and/or any other type of network capable of transmitting information.