Personalization cloud recommendation method and system based on multi-user digital television program
A technology of digital TV and recommendation method, applied in the direction of electrical components, selective content distribution, image communication, etc., can solve the problem of inaccurate recommendation system and achieve accurate results
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[0020] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.
[0021] The present invention provides a solution based on multi-user personalized cloud recommendation of digital TV programs, which can extract user features from user viewing data and program features from SI information and website program information, and based on user features and Program features are used to identify users, combined with content filtering and collaborative filtering to comprehensively measure the recommendability of programs.
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