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Algorithm Research & Explore
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3593-3596

User interest model construction and update for news recommendation

Yuan Renjin
Chen Gang
Li Feng
Institute of Geospatial Information, Information Engineering University, Zhengzhou 450001, China

Abstract

Aiming at the problem of user interest model construction and user interest drift in news recommendation system, this paper proposed a method of constructing and updating user interest model for news recommendation. Firstly, this method utilized vector space model and bisecting K-means clustering algorithm to construct the user interest model. Then, it constructed the forgetting function based on Ebbinghaus's forgetting curve, and utilized the forgetting function to update the user interest model by adding time-weight. In the experiments, this paper took user-based and item-based collaborative filtering recommendation as baseline, and the result shows that the proposed original user interest model has better recommendation performance with an increase of 4% in F-value, and the updated model is higher than the original model in F-value by 1.3%.

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.05.0388
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 12
Section: Algorithm Research & Explore
Pages: 3593-3596
Serial Number: 1001-3695(2019)12-015-3593-04

Publish History

[2019-12-05] Printed Article

Cite This Article

袁仁进, 陈刚, 李锋. 面向新闻推荐的用户兴趣模型构建与更新 [J]. 计算机应用研究, 2019, 36 (12): 3593-3596. (Yuan Renjin, Chen Gang, Li Feng. User interest model construction and update for news recommendation [J]. Application Research of Computers, 2019, 36 (12): 3593-3596. )

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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