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AH
2004
Springer
14 years 1 months ago
Context-Aware Recommendations in the Mobile Tourist Application COMPASS
This paper describes the context-aware mobile tourist application COMPASS that adapts its services to the user’s needs based on both the user’s interests and his current contex...
Mark van Setten, Stanislav Pokraev, Johan Koolwaai...
ICDM
2003
IEEE
142views Data Mining» more  ICDM 2003»
14 years 1 months ago
Privacy-Preserving Collaborative Filtering Using Randomized Perturbation Techniques
Collaborative Filtering (CF) techniques are becoming increasingly popular with the evolution of the Internet. E-commerce sites use CF systems to suggest products to customers base...
Huseyin Polat, Wenliang Du
WSDM
2012
ACM
246views Data Mining» more  WSDM 2012»
12 years 3 months ago
Auralist: introducing serendipity into music recommendation
Recommendation systems exist to help users discover content in a large body of items. An ideal recommendation system should mimic the actions of a trusted friend or expert, produc...
Yuan Cao Zhang, Diarmuid Ó Séaghdha,...
CORR
2002
Springer
131views Education» more  CORR 2002»
13 years 7 months ago
A Connection-Centric Survey of Recommender Systems Research
Recommender systems attempt to reduce information overload and retain customers by selecting a subset of items from a universal set based on user preferences. While research in rec...
Saverio Perugini, Marcos André Gonça...
AUSDM
2007
Springer
107views Data Mining» more  AUSDM 2007»
14 years 2 months ago
Preference Networks: Probabilistic Models for Recommendation Systems
Recommender systems are important to help users select relevant and personalised information over massive amounts of data available. We propose an unified framework called Prefer...
Tran The Truyen, Dinh Q. Phung, Svetha Venkatesh