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» Manipulation Robustness of Collaborative Filtering
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MANSCI
2010
62views more  MANSCI 2010»
13 years 5 months ago
Manipulation Robustness of Collaborative Filtering
Benjamin Van Roy, Xiang Yan
AAAI
2007
13 years 9 months ago
Unsupervised Shilling Detection for Collaborative Filtering
Collaborative Filtering systems are essentially social systems which base their recommendation on the judgment of a large number of people. However, like other social systems, the...
Bhaskar Mehta
ECWEB
2007
Springer
162views ECommerce» more  ECWEB 2007»
14 years 1 months ago
Impact of Relevance Measures on the Robustness and Accuracy of Collaborative Filtering
The open nature of collaborative recommender systems present a security problem. Attackers that cannot be readily distinguished from ordinary users may inject biased profiles, deg...
Jeff J. Sandvig, Bamshad Mobasher, Robin D. Burke
AICS
2009
13 years 5 months ago
Robustness Analysis of Model-Based Collaborative Filtering Systems
Collaborative filtering (CF) recommender systems are very popular and successful in commercial application fields. However, robustness analysis research has shown that conventional...
Zunping Cheng, Neil Hurley
DEBU
2008
165views more  DEBU 2008»
13 years 7 months ago
A Survey of Attack-Resistant Collaborative Filtering Algorithms
With the increasing popularity of recommender systems in commercial services, the quality of recommendations has increasingly become an important to study, much like the quality o...
Bhaskar Mehta, Thomas Hofmann