SVM-TIA a shilling attack detection method based on SVM and target item analysis in recommender systems-Reference-Cited by-同舟云学术

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SVM-TIA a shilling attack detection method based on SVM and target item analysis in recommender systems

Published:2016-10 Issue: Volume:210 Page:197-205
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Zhou Wei,Wen Junhao,Xiong Qingyu,Gao Min,Zeng Jun

Funder

National Science Foundations

Foundation of Ministry of Education

Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China

China Postdoctoral Science Foundation

China Fundamental Research Funds for the Central Universities

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference36 articles.

1. Toward the next generation of recommender systems;Adomavicius;IEEE Trans. Knowl. Data Eng.,2005

2. Emergence of scale-free leadership structure in social recommender systems;Zhou;PLoS One,2011

3. R. Burke, B. Mobasher, C. Williams, R. Bhaumik, Classification features for attack detection in collaborative recommender systems, in: Proceedings of the 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, ACM, 2006, pp. 542–547.

4. S.K. Lam, J. Riedl, Shilling recommender systems for fun and profit, in: Proceedings of the 13th International Conference on World Wide Web, ACM, 2004, pp. 393–402.

5. B. Mehta, T. Hofmann, W. Nejdl, Robust collaborative filtering, in: Proceedings of the 2007 ACM Conference on Recommender systems, ACM, 2007, pp. 49–56.

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