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A program recommendation method based on matrix online completion and program characteristics

A program feature and program recommendation technology, applied in image communication, selective content distribution, electrical components, etc., can solve the problems of insufficient push accuracy and low evaluation requirements, and achieve the effect of strong push pertinence and high accuracy

Active Publication Date: 2019-06-25
杭州联汇科技股份有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The present invention mainly solves the technical problem of insufficient push accuracy existing in the prior art, and provides a program recommendation method based on matrix online completion and program features with high accuracy and low evaluation requirements

Method used

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  • A program recommendation method based on matrix online completion and program characteristics
  • A program recommendation method based on matrix online completion and program characteristics
  • A program recommendation method based on matrix online completion and program characteristics

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Embodiment

[0024] Embodiment: There are a large number of broadcast programs on the system platform, so recommending broadcast programs of interest to audiences is an important function of the system platform. Since the interests of the audience are changing every day, the data in our system platform is also constantly updated, for example, some new programs have been added, and the audience has rated some programs and so on. Therefore, the real-time performance of recommendation has a very important impact on the accuracy of broadcast program recommendation. Traditional recommendation algorithms perform poorly in real-time performance.

[0025] If the audience and the broadcast program are regarded as two dimensions, then the rating of the program by the audience can be regarded as a matrix, which is called the rating matrix. Because only a fraction of the audience rated certain programs, elements at some positions in the rating matrix are unknown. Recommending broadcast programs for ...

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Abstract

The invention discloses a program recommendation method based on matrix online completion and program characteristics. The program recommendation method comprises the following steps: S01, reading thecharacteristics of each program; S02, calculating the correlation among the programs; S03, solving the objective function through an iteration method to obtain a completion matrix X; And S04, recommending the programs selected by the target audiences according to the completion matrix X. After new programs are warehoused or audiences score the programs, the scoring matrix can be adjusted in realtime, the pushing pertinence is high, and the accuracy is high. The scheme is suitable for screening and recommending multimedia program platforms.

Description

technical field [0001] The invention relates to the field of media program evaluation and push, in particular to a program recommendation method based on matrix online completion and program features. Background technique [0002] Watching / listening to media programs such as audio and video is one of the common entertainment methods for people. With the development of science and technology and the improvement of living standards, people listen to and watch programs more on Internet-based devices such as computers, mobile phones, and PADs. In order to attract users to watch many different programs and increase ratings, the media provider will actively push them to users. How to accurately push programs of interest to users is one of the important topics in the era of big data. Existing recommendation algorithms are often inefficient and cannot meet the real-time requirements. Moreover, the characteristic information of the program itself is not applied to the recommendatio...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N21/466H04N21/25H04N21/475
Inventor 赵凡盛国林顾江标单雪松吴洁
Owner 杭州联汇科技股份有限公司