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EDBTW
2004
Springer
14 years 1 months ago
Semantic Web Recommender Systems
Research on recommender systems has primarily addressed centralized scenarios and largely ignored open, decentralized systems where remote information distribution prevails. Absenc...
Cai-Nicolas Ziegler
ICDE
2007
IEEE
130views Database» more  ICDE 2007»
14 years 4 months ago
A Survey of Explanations in Recommender Systems
This paper provides a comprehensive review of explanations in recommender systems. We highlight seven possible advantages of an explanation facility, and describe how existing mea...
Nava Tintarev, Judith Masthoff
HICSS
2007
IEEE
114views Biometrics» more  HICSS 2007»
14 years 4 months ago
Consumers' Interest in Personalized Recommendations: The Role of Product-Involvement and Opinion Seeking
The best recommender system is useless if consumers are not interested in its recommendations. Hence it is vital for e-commerce operators who apply recommender systems to get insi...
Nicolas Knotzer, Maria Madlberger
ICDM
2002
IEEE
109views Data Mining» more  ICDM 2002»
14 years 2 months ago
Using Text Mining to Infer Semantic Attributes for Retail Data Mining
Current Data Mining techniques usually do not have a mechanism to automatically infer semantic features inherent in the data being “mined”. The semantics are either injected i...
Rayid Ghani, Andrew E. Fano
AAAI
2006
13 years 11 months ago
Model-Based Collaborative Filtering as a Defense against Profile Injection Attacks
The open nature of collaborative recommender systems allows attackers who inject biased profile data to have a significant impact on the recommendations produced. Standard memory-...
Bamshad Mobasher, Robin D. Burke, Jeff J. Sandvig