摘要:
A method and apparatus for delivering targeted assets to subscribers using communication media, wherein each subscriber has a set top box, the method comprising the steps of generating a profile of each subscriber at the set top box associated with the respective subscriber, broadcasting an asset to all subscribers along with target information; and delivering the asset only to subscribers whose profiles match the target information. The delivery of the asset, and accumulated information from delivery of the asset to other subscribers, is reported to a user using an asset delivery notification, without identifying the subscriber to the user. A privacy manager is used to strip identification information from the asset delivery notification. The profile, which may include real time information, for example on whether the subscriber set is on and what it is tuned to, is generated by monitoring the viewing habits of the subscriber and storing the information at a set top box.
摘要:
Systems and methods presented herein generally provide for the compensation of asset providers and/or communications network providers for the non-consumption of assets provided with programming In this regard when users elect not to consume the assets associated with the programming, the asset provider loses the opportunity to present their assets to such non-consuming users and is thereby injured in relation to the price they have paid for the delivery of their assets. In one arrangement, a reporting module at a customer device is operative to identify when a user skips an asset and report that skip event to the network. This information may then be utilized to adjust the bill of the asset provider and/or to bill the user associated with the skip event.
摘要:
A system and method is provided for use in connection with auctioning delivery spots (e.g., ad spots) or commercial impressions in a broadcast network. The system provides (1702) information regarding asset delivery spots and receives (1704) bids from asset providers. A winning bidder is determined (1706), and a corresponding asset is delivered (1708) via the network.
摘要:
A method and apparatus for delivering targeted assets to subscribers using communication media, wherein each subscriber has a set top box, the method comprising the steps of generating a profile of each subscriber at the set top box associated with the respective subscriber, broadcasting an asset to all subscribers along with target information; and delivering the asset only to subscribers whose profiles match the target information. The delivery of the asset, and accumulated information from delivery of the asset to other subscribers, is reported to a user using an asset delivery notification, without identifying the subscriber to the user. A privacy manager is used to strip identification information from the asset delivery notification. The profile, which may include real time information, for example on whether the subscriber set is on and what it is tuned to, is generated by monitoring the viewing habits of the subscriber and storing the information at a set top box.
摘要:
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
摘要:
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 (Fig 8, Bl 1202). 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 (Fig 8, Bl 1214).