CLIENT-SIDE RECOMMENDATIONS ON ONE-WAY BROADCAST NETWORKS
First Claim
1. A client-side Recommender system on One-Way Broadcast Network, comprising at least a one-way channel connecting a broadcasting station to a set-top-box device (STB) of a first set of users, said set-top-box (STB) comprising a memory, a computation and driving unit for at least tracking the user activity, storing a user profile, generating and displaying on a TV set a ranking of recommended media items, said ranking being determined by said computation capacity unit through a recommender model stored on said memory, characterized in thatit comprises a collaborative dual module, a first back-end module running on a auxiliary server connected to a two-way network (Internet) and belonging to an auxiliary domain (domain A), this first back-end module leveraging external data sources to collect community based information on at least part of said media items, while said recommender model stored on said memory of the set-top-box (STB) being a second front-end module, and in thatthe broadcasting station and said set-top-box device belong to a target domain (domain T),said auxiliary server is part of said two-way network, comprising at least two channels to gather feedback data from a second set of users on at least part of said media items,said first back-end module is processed by said auxiliary server through collaborative techniques including said feedback data collected from said second set of users,said first back-end module is transformed in a compact representation by said server and one-way broadcast to said set-top-box (STB) where it is implemented as said second front-end module.
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Abstract
A method and a client-side Recommender system on One-Way Broadcast Network includes at least a one-way channel connecting a broadcasting station to a set-top-box device of a first set of users, the set-top-box including a memory, a computation and driving unit for tracking the user activity, storing a user profile, generating and displaying a ranking of recommended media items, the ranking being determined by the computation unit through a recommender model stored on the memory. The system further includes a collaborative dual module, a first back-end module running on a auxiliary server connected to a two-way network and belonging to an auxiliary domain, this first back-end module leveraging external data sources to collect community based information on at least part of the media items, while the recommender model stored on the memory being a second front-end module, wherein the broadcasting station and the set-top-box device belong to a target domain.
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Citations
10 Claims
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1. A client-side Recommender system on One-Way Broadcast Network, comprising at least a one-way channel connecting a broadcasting station to a set-top-box device (STB) of a first set of users, said set-top-box (STB) comprising a memory, a computation and driving unit for at least tracking the user activity, storing a user profile, generating and displaying on a TV set a ranking of recommended media items, said ranking being determined by said computation capacity unit through a recommender model stored on said memory, characterized in that
it comprises a collaborative dual module, a first back-end module running on a auxiliary server connected to a two-way network (Internet) and belonging to an auxiliary domain (domain A), this first back-end module leveraging external data sources to collect community based information on at least part of said media items, while said recommender model stored on said memory of the set-top-box (STB) being a second front-end module, and in that the broadcasting station and said set-top-box device belong to a target domain (domain T), said auxiliary server is part of said two-way network, comprising at least two channels to gather feedback data from a second set of users on at least part of said media items, said first back-end module is processed by said auxiliary server through collaborative techniques including said feedback data collected from said second set of users, said first back-end module is transformed in a compact representation by said server and one-way broadcast to said set-top-box (STB) where it is implemented as said second front-end module.
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5. A one-way broadcast program recommendation method comprising providing a one-way channel connecting a broadcasting station to a set-top-box device (STB) of a first set of users in a target domain (domain T), wherein said set-top-box (STB) is arranged for tracking the user activity, storing a user profile, generating and displaying on a TV set a ranking of recommended media items, said ranking being determined by a computation unit of said set-top-box (STB) through a recommender model stored in a memory thereof, characterized in that it comprises the steps of
operating a collaborative dual module, where a first back-end module is run on a auxiliary server belonging to a two-way network where a collaborative model is developed between an auxiliary set of users and auxiliary set of items, at least partially overlapping with said media items, belonging to an auxiliary domain (domain A), compacting and tailoring said collaborative model developed in the auxiliary domain (domain A) to be broadcast in said target domain (domain T) to be used as said recommender model stored in said memory of the set-top-box (STB) by exploiting said user activity and user profile belonging to the target domain (domain T).
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6. A one-way broadcast program recommendation method comprising providing a one-way channel connecting a broadcasting station to a set-top-box device (STB) of a first set of users, wherein said set-top-box (STB) is arranged for tracking the user activity, storing a user profile, generating and displaying on a TV set a ranking of recommended media items, said ranking being determined by a computation unit of said set-top-box (STB) through a recommender model stored in a memory thereof, characterized in that it comprises the step of operating a collaborative dual module, a first back-end module running on a auxiliary server connected to a two-way network (Internet) and belonging to an auxiliary domain (domain A), this first back-end module leveraging external data sources to collect community based information on at least part of said media items, and a second front-end module being said recommender model stored on said memory of the set-top-box (STB) belonging to a target domain (domain T), and in that
said auxiliary server comprises at least two channels to gather feedback data from a second set of users on at least part of said media items, said first back-end module is processed by said auxiliary server through collaborative techniques including said feedback data collected from said second set of users, said first back-end module is transformed in a compact representation by said auxiliary server and one-way broadcast to said set-top-box (STB) where it is implemented as said second front-end module.
Specification