Television program content searching and recommending method oriented to integration of three networks

Abstract

The invention discloses a television program content searching and recommending method oriented to integration of three networks. The method comprises the following steps: proposing three video tag self-enriching methods, namely, a synonym tag enriching method, a comment tag enriching method and a video similarity tag enriching method to generate a tag description file which can describe massive television program content in detail; designing an interface to completely collect explicit and implicit behavior information of television program audience, proposing explicit and implicit preference weight calculation methods respectively to construct a tag-based user preference model, and meanwhile considering the change of user preference along with time; and proposing a similarity calculation method based on a tag satisfaction relation to realize personalize search and active recommendation service of the massive television program content in an environment of integration of three networks. Through adoption of the method, the demand of detailed description on the massive television program content in the environment of integration of three networks is met. Meanwhile, a television program personalized service with better experience is provided for a user, so that the browsing time of the user is shortened, and the retrieval efficiency of the user is increased.

Description

technical field [0001] The invention belongs to the field of computer application technology, and more specifically relates to a method for searching and recommending TV program content oriented to the integration of three networks, which realizes detailed description of mass TV program content through self-enrichment of video tags, collects user behavior information in detail and mines User preference, according to the obtained user preference information, it provides users with two kinds of personalized services: personalized search and active recommendation of TV programs. Background technique [0002] "Triple play integration" means that the Internet, radio and television network and telecommunication network are interpenetrating and compatible with each other and gradually develop into a unified information network that can share resources and provide users with multiple services such as data, radio and television, and digital voice. In recent years, with the transforma...

AI Technical Summary

Problems solved by technology

[0004] 1. In the triple play environment, the amount of TV program data is massive. It is unrealistic to only rely on the program provider to describe the video content in detail one by one. It must rely on other forces to achieve a detailed description of the video content.

[0005] 2. Personalized services have high requirements for real-time performance. How to completely collect user behavior information, how to quickly and accurately build user preference models, realize real-time update of preference models, and provide efficient personalized services are still facing challenges

[0006] 3. The existing personalized services only focus on on-demand video, or only pay attention to live TV programs, lack of personalized services that consider both types of TV programs at the same time, that is, personalized services for TV programs under the triple play environment

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