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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 36, 2019 No. 12
3601-3604

Collaborative filtering group recommendation based on information entropy and user behavior consistency

Su Mengke
Yang Yupu
Key Laboratory of System Control & Information Processing of Ministry of Education, Dept. of Automation, Shanghai Jiao Tong University, Shanghai 200240, China
DOI: 10.19734/j.issn.1001-3695.2018.05.0391

Abstract

For the scoring matrix as the unique algorithm input of the collaborative filtering recommendation algorithm, the differences in the quality of the data have great impact on the recommendation results, including arousing the attention to data quality, how to characterize quality differences, and how to group users and recommend on the basis of user groups with different quality data. This paper proposed a description of data quality, comprehensively considered the user behavior consistency and user information entropy to evaluate the data quality. Users of different groups could perform more accurate recommendation results based on analyzing their historical behavior. The experimental results show that the difference of data quality has an important impact on the improvement of recommendation accuracy, and at the same time demonstrates the necessity of group recommendation. The experimental results also show that the accuracy of the combination of the two aspects of user behavior consistency and user information entropy is the most significant.

Foundation Support

国家自然科学基金资助项目(5177070084)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.05.0391
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 12
Section: Algorithm Research & Explore
Pages: 3601-3604
Serial Number: 1001-3695(2019)12-017-3601-04

Publish History

[2019-12-05] Printed Article

Cite This Article

苏梦珂, 杨煜普. 基于信息熵和用户行为一致性的协同过滤分组推荐 [J]. 计算机应用研究, 2019, 36 (12): 3601-3604. (Su Mengke, Yang Yupu. Collaborative filtering group recommendation based on information entropy and user behavior consistency [J]. Application Research of Computers, 2019, 36 (12): 3601-3604. )

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.

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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