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SIGIR
2006
ACM
14 years 1 months ago
Unifying user-based and item-based collaborative filtering approaches by similarity fusion
Memory-based methods for collaborative filtering predict new ratings by averaging (weighted) ratings between, respectively, pairs of similar users or items. In practice, a large ...
Jun Wang, Arjen P. de Vries, Marcel J. T. Reinders
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
COMAD
2008
13 years 9 months ago
Kshitij: A Search and Page Recommendation System for Wikipedia
Semantic information helps in identifying the context of a document. It will be interesting to find out how effectively this information can be used in recommending related docume...
Phanikumar Bhamidipati, Kamalakar Karlapalem
ECIR
2006
Springer
13 years 9 months ago
A User-Item Relevance Model for Log-Based Collaborative Filtering
Abstract. Implicit acquisition of user preferences makes log-based collaborative filtering favorable in practice to accomplish recommendations. In this paper, we follow a formal ap...
Jun Wang, Arjen P. de Vries, Marcel J. T. Reinders
SIGIR
2002
ACM
13 years 7 months ago
Collaborative filtering with privacy via factor analysis
Collaborative filtering (CF) is valuable in e-commerce, and for direct recommendations for music, movies, news etc. But today's systems have several disadvantages, including ...
John F. Canny