Algorithm Research & Explore
|
724-729,780

Shilling-attack-tolerant recommendation algorithm based on attribute facilitated matrix completion

Zhou Yuxuana
Chen Leia,b
Zhang Hanfenga
a. School of Computer Science, b. Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks, Nanjing University of Posts & Telecommunications, Nanjing 210003, China

Abstract

Shilling attack is one of serious challenges which recommender systems are facing. Malicious users can easily insert well-designed ratings into recommender systems to affect recommendation results and decrease user experiences because of the openness of recommender systems. This paper proposed a robust shilling-attack-tolerant personalized recommendation(SATPR) algorithm based on attribution facilitated matrix completion with structural noise technology, regarded the ratings of attack users in the rating matrix as structural row noise and modeled them with L2,1-norm. This paper also introduced attributive cha-racters of users and items to improve the accuracy of detection of shilling-attack. Experimental results show that SATPR algorithm achieves more accurate results of personalized rating prediction than traditional recommendation algorithms under shilling attacks.

Foundation Support

江苏省自然科学基金面上项目(BK20161516)
中国博士后科学基金资助项目(2015M581794)
江苏省高校自然科学研究面上项目(15KJB520027)
江苏省博士后科研计划资助项目(1501023C)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2017.09.0906
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 3
Section: Algorithm Research & Explore
Pages: 724-729,780
Serial Number: 1001-3695(2019)03-017-0724-06

Publish History

[2019-03-05] Printed Article

Cite This Article

周宇轩, 陈蕾, 张涵峰. 基于属性优化矩阵补全的抗托攻击推荐算法 [J]. 计算机应用研究, 2019, 36 (3): 724-729,780. (Zhou Yuxuan, Chen Lei, Zhang Hanfeng. Shilling-attack-tolerant recommendation algorithm based on attribute facilitated matrix completion [J]. Application Research of Computers, 2019, 36 (3): 724-729,780. )

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  • Application Research of Computers Monthly Journal
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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.

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