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DATAMINE
2002
155views more  DATAMINE 2002»
13 years 11 months ago
Efficient Adaptive-Support Association Rule Mining for Recommender Systems
Collaborative recommender systems allow personalization for e-commerce by exploiting similarities and dissimilarities among customers' preferences. We investigate the use of a...
Weiyang Lin, Sergio A. Alvarez, Carolina Ruiz
PRICAI
2004
Springer
14 years 4 months ago
A New Collaborative Recommender System Addressing Three Problems
Abstract. With the development of e-commerce and information access, a large amount of information can be found online, which makes a good recommendation service to be urgently nec...
Byeong Man Kim, Qing Li, Jong-Wan Kim, Jinsoo Kim
ECWEB
2007
Springer
162views ECommerce» more  ECWEB 2007»
14 years 5 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
KDD
2006
ACM
170views Data Mining» more  KDD 2006»
14 years 12 months ago
Classification features for attack detection in collaborative recommender systems
Collaborative recommender systems are highly vulnerable to attack. Attackers can use automated means to inject a large number of biased profiles into such a system, resulting in r...
Robin D. Burke, Bamshad Mobasher, Chad Williams, R...