Real-time interaction digital television information recommendation system and method

Abstract

The invention provides a real-time interaction digital television information recommendation system. The real-time interaction digital television information recommendation system comprises an acquisition system, a user management system, an information management system and a matching and computing system; the acquisition system is used for switching in a digital video broadcasting network, obtaining a list of all channels and a program list of each channel, classifying all the channels, adding classification tags to all the channels, classifying all programs in each channel, and adding classification tags to all the programs; the user management system is used for importing user data of a set top box and generating a user tag; the information management system is used for inputting information content, adding attribute tags to the information content, and inputting recommendation rules; the matching and computing system is used for monitoring a recommendation request of a user of the set top box, receiving and analyzing the recommendation request of the user of the set top box, matching the recommendation request with each recommendation rule to find out a coincident recommendation rule, selecting a plurality of pieces of information according to the coincident recommendation rule, and feeding back the information to the user sending the recommendation request. The invention further discloses a corresponding real-time interaction digital television information recommendation method. The real-time interaction digital television information recommendation system and method can provide backstage support for digital television operation, improve the degree of participation of the user, and improve the accuracy of information recommendation.

Description

technical field [0001] The invention relates to the field of digital television broadcasting, in particular to a real-time interactive information recommendation system of a digital television network. Background technique [0002] In the information age, the recommendation system has already become a product with wide application and high user recognition. At the same time, it is also a long-term active research field with new methods and concepts emerging. It can be said to be an enduring research field. The basic functions of the recommendation system include product data collection, user behavior data collection, mining and calculation of user data relevance, and finally screening suitable content. When users use related applications, these contents are presented in the user's visual and audio media. In this way, users are freed from the burden of blindly searching in massive data, and directly provide the content that users are most likely to be interested in. [0003]...

AI Technical Summary

Problems solved by technology

[0005] 1) There is a significant difference between the concept of digital TV users and the concept of Internet users. Unlike the Internet, digital TV networks extend in all directions, and users have natural regional restrictions; 2) The degree of user participation in digital TV interactive application content is low; 3) Digital TV operations lack a function Powerful background system, a platform that supports user behavior collection and mining calculations;

[0006] Some scientific research institutions and companies have been involved in the application of recommendation services on digital TV, but basically they are limited to services such as digital TV programs or video-on-demand recommendations, and the reference program information itself comes from the Internet, which does not have complete authenticity

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