Algorithm Research & Explore
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3230-3232,3249

Relevance dynamic weighted collaborative filtering recommendation

Wang Jian
Yu Qingsong
College of Computer Science & Software Engineering, East China Normal University, Shanghai 200333, China

Abstract

When the traditional collaborative filtering algorithm is used for recommendation, the credibility based on similarity between users or items directly obtained is relatively low due to the sparsity of the user rating matrix. In order to solve this problem, this paper introduced the relevance between projects on the basis of traditional collaborative filtering. It established the association in a non-reciprocal condition by building a dynamic weighting factor between the project's category label and bipartite graph approach, and the user's rating of the project would be predicted. As a result, compared with the method of using the equivalent similarity and the fixed weight value in the traditional method, the method of using non-equivalent relationship formed by the dynamic weights is more in line with the reality of life and has a better recommendation effect.

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.05.0306
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 11
Section: Algorithm Research & Explore
Pages: 3230-3232,3249
Serial Number: 1001-3695(2019)11-005-3230-03

Publish History

[2019-11-05] Printed Article

Cite This Article

王剑, 余青松. 关联性动态加权的协同过滤推荐 [J]. 计算机应用研究, 2019, 36 (11): 3230-3232,3249. (Wang Jian, Yu Qingsong. Relevance dynamic weighted collaborative filtering recommendation [J]. Application Research of Computers, 2019, 36 (11): 3230-3232,3249. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

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