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IAT
2006
IEEE
14 years 1 months ago
Enhanced Recommendations through Propagation of Trust and Distrust
The incorporation of a trust network among the users of a recommender system (RS) proves beneficial to the quality and amount of recommendations. Involving also distrust can offe...
Patricia Victor, Chris Cornelis, Martine De Cock
ICDM
2005
IEEE
126views Data Mining» more  ICDM 2005»
14 years 1 months ago
Segment-Based Injection Attacks against Collaborative Filtering Recommender Systems
Significant vulnerabilities have recently been identified in collaborative filtering recommender systems. Researchers have shown that attackers can manipulate a system’s reco...
Robin D. Burke, Bamshad Mobasher, Runa Bhaumik, Ch...
UM
2009
Springer
14 years 6 days ago
History Dependent Recommender Systems Based on Partial Matching
Abstract. This paper focuses on the utilization of the history of navigation within recommender systems. It aims at designing a collaborative recommender based on Markov models rel...
Armelle Brun, Geoffray Bonnin, Anne Boyer
EWCBR
2006
Springer
13 years 11 months ago
Combining Case-Based and Similarity-Based Product Recommendation
Product recommender systems are a popular application and research field of CBR for several years now. However, almost all CBRbased recommender systems are not case-based in the or...
Armin Stahl
RECSYS
2010
ACM
13 years 7 months ago
Eye-tracking product recommenders' usage
Recommender systems have emerged as an effective decision tool to help users more easily and quickly find products that they prefer, especially in e-commerce environments. However...
Sylvain Castagnos, Nicolas Jones, Pearl Pu