Television program recommending method and device for digital television

Abstract

The embodiment of the invention discloses a television program recommending method and device for a digital television. The method comprises the following steps: collecting basic information of digital television subscribers; constructing an initial predictive scoring matrix according to the basic information of the subscribers; establishing a similar television program list according to the initial predictive scoring matrix; and acquiring the recommendation result according to the similar television program list. In the method and device provided by the embodiment of the invention, a content-based recommendation method is added on the basis of a collaborative filtering recommendation method so as to solve the problem of cold start up of a collaborative filtering recommendation system in the prior art, and the two methods are combined to construct the similar television program list, and recommendation service is provided for the subscribers by use of the similar television program list. Therefore, the method and device provided by the invention can be used for assisting the digital television subscribers to find the possible interested television programs, can ensure that a new digital television subscriber can obtain more accurate recommendation service, and can be used for solving the problem that a new television program has less possibility of being recommended by the system.

Description

technical field [0001] The present invention relates to the technical field of digital television, in particular to a digital television video program recommendation method and device thereof. Background technique [0002] With the continuous improvement of digital TV-related technologies and the continuous penetration and integration of digital products and information services in the family, digital TV interactive applications and services have become increasingly rich and diverse. The digital TV video-on-demand system overcomes the defects of the traditional one-way broadcasting method, and provides rich video programs for users to choose to watch at any time. However, users often need to spend a lot of time browsing huge program information to find their favorite programs. [0003] Adding a recommendation system to digital TV can help users find movies and TV programs that they may be interested in, and recommend the programs to users, so as to save users' operation tim...

AI Technical Summary

Problems solved by technology

However, the most common collaborative filtering recommendation system faces the problem of new users and new items, that is, the cold start problem

When digital TV users use the recommendation system for the first time, the system cannot obtain enough user rating data to make recommendations

In addition, the update speed of the film and television programs in the digital TV is relatively fast, but because the newly added film and television programs are not well-known by users, they cannot get enough user ratings to provide recommendation basis for the recommendation system, so it is difficult to get the recommendation of the recommendation system

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