Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 38, 2021 No. 10
2981-2987

Collaborative filtering recommendation algorithm for Web services based on user-space location score cloud model

Wang Ruixiang1a,2
Wei Le1a,1b
Duan Yanfei1a
Yao Dengguo1a
Zhang Hang1a
1. a. School of Software Engineering, b. Automatic Software Generation & Intelligence Service Key Laboratory of Sichuan Province, Chengdu University of Information Technology, Chengdu 610225, China
2. Meteorological Observation Data Center of Henan Province, Zhengzhou 450003, China
DOI: 10.19734/j.issn.1001-3695.2021.02.0040

Abstract

Web services, as invisible products, do not have spatial geographic coordinates in the real environment. Aiming at the inability to measure the distance position relationship between the user group and the Web service in the services recommendation, caused user similarity calculations to be out of balance, leading to inaccurate recommendations and other issues, this paper proposed a collaborative filtering recommendation algorithm for Web services based on user-space location rating cloud model. Firstly, based on the behavior data of user groups, it quantified the hot areas of Web services and described the user's interest and preference for Web services through the spatial location quantitative score. Secondly, it used the cloud model to describe the overall characteristics of each user's spatial behavior score, and designed the calculation method of similar closeness between cloud models. Based on this method, this paper proposed a user difference degree coefficient evaluation algorithm, and optimized the Pearson similarity measure as a control coefficient. Finally, it found out the Web services that users were interested in through collaborative filtering. Experimental results show that the algorithm makes the regional division of user behavior preferences more accurate, the recommendation accuracy rate is significantly improved, and it provides a novel solution for location-based Web service recommendation.

Foundation Support

四川省重大科技专项资助项目(2017GZDZX0002)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.02.0040
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 10
Section: Algorithm Research & Explore
Pages: 2981-2987
Serial Number: 1001-3695(2021)10-016-2981-07

Publish History

[2021-10-05] Printed Article

Cite This Article

王瑞祥, 魏乐, 段燕飞, 等. 基于用户空间位置评分云模型的Web服务协同过滤推荐算法 [J]. 计算机应用研究, 2021, 38 (10): 2981-2987. (Wang Ruixiang, Wei Le, Duan Yanfei, et al. Collaborative filtering recommendation algorithm for Web services based on user-space location score cloud model [J]. Application Research of Computers, 2021, 38 (10): 2981-2987. )

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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.

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