Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 36, 2019 No. 7
1965-1969

Study of recommended algorithm integrating social behavior and labeling behavior

Jiang Yun
Ni Jing
Fang Hongyang
School of Business, University of Shanghai for Science & Technology, Shanghai 200093, China
DOI: 10.19734/j.issn.1001-3695.2018.01.0038

Abstract

In view of the traditional recommendation algorithm ignoring the impact of social behavior of users, the incomprehensive research perspective and lack of physical explanation, this paper proposed a recommendation algorithm that integrated social behavior and tagging behavior of users. Firstly, it calculated the attractiveness between user nodes in social network by gravity model to measure the similarity of users' social behavior. Secondly, it constructed the user's favorite object model by label information, also used the gravitation formula to calculate the gravitation between favorite objects to measure the similarity of tagging behavior. Finally, the paper introduced the variables to weigh the proportion of two similar values, and then got the set of neighbors and generated recommendations. Experimental results using Last. fm dataset show that the proposed algorithm has higher precision and recall.

Foundation Support

国家自然科学基金面上项目(71774111)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.01.0038
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 7
Section: Algorithm Research & Explore
Pages: 1965-1969
Serial Number: 1001-3695(2019)07-010-1965-05

Publish History

[2019-07-05] Printed Article

Cite This Article

蒋云, 倪静, 房宏扬. 融合社交行为和标签行为的推荐算法研究 [J]. 计算机应用研究, 2019, 36 (7): 1965-1969. (Jiang Yun, Ni Jing, Fang Hongyang. Study of recommended algorithm integrating social behavior and labeling behavior [J]. Application Research of Computers, 2019, 36 (7): 1965-1969. )

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  • 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.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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