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Algorithm Research & Explore
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2900-2906

Matrix factorization recommendation model based on side information

Jiang Wei
Qin Zhiguang
School of Information & Software Engineering, University of Electronic Science & Technology of China, Chengdu 610054, China

Abstract

Collaborative filtering(CF) recommender systems have been used to provide users with personalized products and services successfully in the past decade. However, sparseness of user-item matrix and the low accuracy are still challenges. To solve these problems, this paper proposed an ensemble framework based on matrix factorization CF for integrating side information of users and items. Based on this framework, this paper proposed a hybrid CF model for integrating COS(coupled object similarity) of attribute information of items. Extensive experiments conducted over large-scale real-word datasets demonstrate that the proposed approach can effectively solve the problem of item similarity measurement. And compared with the traditional approaches, especially in the case of very sparse feature, the accuracy of the recommendation is improved effectively.

Foundation Support

四川省科技计划资助项目(2015JY0178,2014GZ0109,2015KZ002,2015JY0030)
国家自然科学基金资助项目(61472064)
中央高校基本科研基金资助项目(ZYGX2014J051,ZYGX2014J066)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.03.0206
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 10
Section: Algorithm Research & Explore
Pages: 2900-2906
Serial Number: 1001-3695(2019)10-004-2900-07

Publish History

[2019-10-05] Printed Article

Cite This Article

蒋伟, 秦志光. 耦合辅助信息的矩阵分解推荐模型 [J]. 计算机应用研究, 2019, 36 (10): 2900-2906. (Jiang Wei, Qin Zhiguang. Matrix factorization recommendation model based on side information [J]. Application Research of Computers, 2019, 36 (10): 2900-2906. )

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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