| 摘要 |
A method and a client-side Recommender system on One-Way Broadcast Network is disclosed. The system comprises 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. According to the invention, the system further 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, wherein 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, and 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. |
