A survey of attack detection approaches in collaborative filtering recommender systems
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Title
A survey of attack detection approaches in collaborative filtering recommender systems
Authors
Keywords
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Journal
ARTIFICIAL INTELLIGENCE REVIEW
Volume -, Issue -, Pages -
Publisher
Springer Science and Business Media LLC
Online
2020-09-14
DOI
10.1007/s10462-020-09898-3
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Related references
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- Shilling Attacks Detection in Recommender Systems Based on Target Item Analysis
- (2015) Wei Zhou et al. PLoS One
- A probabilistic model to resolve diversity–accuracy challenge of recommendation systems
- (2014) Amin Javari et al. KNOWLEDGE AND INFORMATION SYSTEMS
- HHT–SVM: An online method for detecting profile injection attacks in collaborative recommender systems
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- A pattern mining approach to enhance the accuracy of collaborative filtering in sparse data domains
- (2014) Mohsen Ramezani et al. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
- : A novel approach to filter out malicious rating profiles from recommender systems
- (2013) Chen-Yao Chung et al. DECISION SUPPORT SYSTEMS
- Shilling attack detection utilizing semi-supervised learning method for collaborative recommender system
- (2012) Jie Cao et al. WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS
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