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Algorithm Research & Explore
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3266-3268

Prediction of user page interest based on improved collaborative filtering algorithm

Song Bodong
Zhang Lichen
School of Computers, Guangdong University of Technology, Guangzhou 510006, China

Abstract

According to the sparse characteristics of big data, singular value decomposition method was introduced into colla-borative filtering algorithm to calculate and verify the page interest degree of internal site users, this paper proposed a user page interest prediction algorithm based on improved collaborative filtering algorithm. The algorithm could extract the false score in the dominant user score data in the network log file, and found user page interest and influence factors. The results of MATLAB simulation show that the collaborative filtering algorithm based on singular value decomposition is accurate and efficient in predicting the interest degree of user pages under the unavoidable situation of massive data sparsity.

Foundation Support

国家自然科学基金资助项目(61572142)
广东省自然科学基金资助项目(2015A030313490)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.04.0282
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 11
Section: Algorithm Research & Explore
Pages: 3266-3268
Serial Number: 1001-3695(2019)11-014-3266-03

Publish History

[2019-11-05] Printed Article

Cite This Article

宋泊东, 张立臣. 基于改进协同过滤算法的用户页面兴趣度预测研究 [J]. 计算机应用研究, 2019, 36 (11): 3266-3268. (Song Bodong, Zhang Lichen. Prediction of user page interest based on improved collaborative filtering algorithm [J]. Application Research of Computers, 2019, 36 (11): 3266-3268. )

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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