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ICDE
2007
IEEE
130views Database» more  ICDE 2007»
14 years 1 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 1 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
AAAI
2006
13 years 9 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
RECSYS
2009
ACM
14 years 2 months ago
TagiCoFi: tag informed collaborative filtering
Besides the rating information, an increasing number of modern recommender systems also allow the users to add personalized tags to the items. Such tagging information may provide...
Yi Zhen, Wu-Jun Li, Dit-Yan Yeung
WWW
2008
ACM
14 years 8 months ago
Trust-based recommendation systems: an axiomatic approach
High-quality, personalized recommendations are a key feature in many online systems. Since these systems often have explicit knowledge of social network structures, the recommenda...
Reid Andersen, Christian Borgs, Jennifer T. Chayes...