Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 37, 2020 No. 5
1364-1367

Research on recommendation model based on trust transitivity in social network environment

Chen Wenjun
Ni Jing
Business School, University of Shanghai for Science & Technology, Shanghai 200093, China
DOI: 10.19734/j.issn.1001-3695.2018.11.0812

Abstract

The current trust-based recommendation algorithms did not fully exploit the trust relationship between users and it lacked reasonable trust transitivity rules, which greatly affected the reliability and accuracy of the recommendation algorithm. Aiming at the above problems, this paper combined user rating data with the user's social relationship to build a trust transitivity model, and proposed a recommendation algorithm based on trust transitivity. Firstly, the algorithm used the score data to calculate the implicit direct trust relationship of the users in the trust transitivity model. Secondly, it solved the indirect trust relationship of multiple trust transitivity chains by solving the ordered weighted average operator. Finally, it converge the user's trust and similarity into comprehensive similarity for predictive recommendation. The experimental results show that the proposed algorithm can effectively improve the recommendation quality of the system.

Foundation Support

国家自然科学基金面上项目(71774111)
国家教育部人文社会科学基金资助项目(19YJAZH064)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.11.0812
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 5
Section: Algorithm Research & Explore
Pages: 1364-1367
Serial Number: 1001-3695(2020)05-016-1364-04

Publish History

[2020-05-05] Printed Article

Cite This Article

陈文俊, 倪静. 社会网络环境下基于信任传递的推荐模型研究 [J]. 计算机应用研究, 2020, 37 (5): 1364-1367. (Chen Wenjun, Ni Jing. Research on recommendation model based on trust transitivity in social network environment [J]. Application Research of Computers, 2020, 37 (5): 1364-1367. )

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  • Application Research of Computers Monthly Journal
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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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