Personalization recommendation method based on smart television

Abstract

The invention relates to a smart television technology and provides a personalization recommendation method based on a smart television. The problem that an existing smart television recommendation method is single in recommendation technology is solved. According to the technical scheme, a system firstly collects user personal characteristic information and user personal preference data, performs modeling according to the user personal characteristic information and the user personal preference data, generates a user similarity model, then analyzes the correlation of all programs in film database, conducts program similarity modeling through content filtering to generate a program similarity model, grades the programs in the program similarity model through the user similarity model to obtain a user-program grading matrix, and adopts a collaborative filtering algorithm to filer the user-program grading matrix so as to obtain a recommendation result and returning the recommendation result to a user when the recommendation result is needed. The personalization recommendation method based on the smart television has the advantages of bringing convenience to the user and being suitable for a smart television system.

Description

technical field [0001] The invention relates to smart TV technology, in particular to smart TV program recommendation technology. Background technique [0002] The Internet has gradually entered people's lives, people's use of information has gradually become globalized, and obtaining information through the Internet has become routine. In recent years, the amount of Internet information data has grown explosively. Massive information is flooding the Internet. It is becoming more and more difficult for users to accurately find the information they need. The problem of information overload has become a huge challenge for the development of the Internet. Smart TVs also have the same problem. With a large amount of video data, users have no choice but to choose their favorite video. The recommendation engine can help users intelligently filter information, and currently popular recommendation technologies in the industry, such as collaborative filtering recommendation technolo...

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to overcome the shortcoming of single recommendation technology in the current smart TV recommendation method, and provide a personalized recommendation method based on smart TV