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» Explaining collaborative filtering recommendations
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VLDB
2002
ACM
193views Database» more  VLDB 2002»
13 years 7 months ago
REFEREE: An Open Framework for Practical Testing of Recommender Systems using ResearchIndex
Automated recommendation (e.g., personalized product recommendation on an ecommerce web site) is an increasingly valuable service associated with many databases--typically online ...
Dan Cosley, Steve Lawrence, David M. Pennock
IIR
2010
13 years 9 months ago
An IR-Based Approach for Tag Recommendation
Thanks to the continuous growth of collaborative platforms like YouTube, Flickr and Delicious, we are recently witnessing to a rapid evolution of web dynamics towards a more `soci...
Cataldo Musto, Fedelucio Narducci, Marco de Gemmis...
ERCIMDL
2010
Springer
165views Education» more  ERCIMDL 2010»
13 years 9 months ago
Metadata Impact on Research Paper Similarity
While collaborative filtering and citation analysis have been well studied for research paper recommender systems, content-based approaches typically restrict themselves to straigh...
Germán Hurtado Martín, Steven Schock...
TKDE
2011
133views more  TKDE 2011»
13 years 2 months ago
Collaborative Filtering with Personalized Skylines
— Collaborative filtering (CF) systems exploit previous ratings and similarity in user behavior to recommend the top-k objects/records which are potentially most interesting to t...
Ilaria Bartolini, Zhenjie Zhang, Dimitris Papadias
CIKM
2009
Springer
14 years 2 months ago
Semi-nonnegative matrix factorization with global statistical consistency for collaborative filtering
Collaborative Filtering, considered by many researchers as the most important technique for information filtering, has been extensively studied by both academic and industrial co...
Hao Ma, Haixuan Yang, Irwin King, Michael R. Lyu