Socialized video recommendation system and method based on implicit community discovery

A video recommendation and video technology, which is applied in video data retrieval, metadata video data retrieval, instruments, etc., can solve the problems of high time cost and limited time and energy for watching videos, so as to improve accuracy and alleviate data sparsity. , the effect of improving the accuracy

Active Publication Date: 2021-01-15
BEIJING UNIV OF POSTS & TELECOMM
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

New videos are uploaded to the Internet every moment, and users have limited time and energy to watch videos. Faced with a large number of videos, the time cost for users to choose videos according to their interests is getting higher and higher.

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  • Socialized video recommendation system and method based on implicit community discovery
  • Socialized video recommendation system and method based on implicit community discovery
  • Socialized video recommendation system and method based on implicit community discovery

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Embodiment Construction

[0027] In order to facilitate those of ordinary skill in the art to understand and implement the present invention, the present invention will be further described in detail and in-depth below in conjunction with the accompanying drawings.

[0028] For socialized videos, the present invention considers that viewers are attracted by certain features of the video, and will naturally gather into several communities, which are called implicit communities, and recommending videos for users based on implicit communities will have a better The recommendation effect improves the accuracy of social video recommendation.

[0029] Such as figure 1 As shown, the socialized video recommendation system based on implicit community discovery of the present invention includes bullet screen comment collection module 1, LDA (document topic generation model) topic clustering module 2, random walk module 3, implicit community Discovery module 4, group recommendation module 5 and result display mo...

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Abstract

The invention provides a socialized video recommendation system and method based on implicit community discovery, and belongs to the technical field of socialized video recommendation. The socializedvideo recommendation system comprises a bullet screen comment collection module, an LDA theme clustering module, a random walk module, an implicit community discovery module, a group recommendation module and a result display module. The method comprises the steps that firstly, bullet screen data of a user are crawled from a video service website to be processed to generate a video theme distribution matrix and a theme word distribution matrix; then, a ternary graph method and a clustering method are adopted to obtain a preference matrix of each implicit community for the theme, the similaritybetween each candidate video and the preference matrix is calculated, and a video recommendation sequence is selected according to the similarity sequence; according to the socialized video recommendation system and method, the implicit community recommendation model is established, the bullet screen text information is combined, the implicit community composed of the users is mined, the data sparsity can be relieved, and the socialized video recommendation accuracy is improved.

Description

technical field [0001] The invention belongs to the technical field of social video recommendation, and in particular relates to a social video recommendation method and system based on implicit community discovery. Background technique [0002] With the development of mobile Internet and the rapid increase of network speed in recent years, online video has become an indispensable part of people's life. New videos are uploaded to the Internet every moment, and users have limited time and energy to watch videos. Faced with a large number of videos, the time cost for users to choose videos according to their interests is getting higher and higher. An efficient and accurate recommendation system is very important. [0003] In recent years, with the maturity of new media technology, social video has surfaced and gradually become popular all over the world. As an emerging method, users can post their emotions or comments on the content while watching the video. Danmaku (Danmak...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/9535G06F16/78
CPCG06F16/9535G06F16/7867
Inventor 田野王舜尧王文东阙喜戎龚向阳
Owner BEIJING UNIV OF POSTS & TELECOMM
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