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» Learning Collaborative Information Filters
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SIGIR
2004
ACM
14 years 2 months ago
An automatic weighting scheme for collaborative filtering
Collaborative filtering identifies information interest of a particular user based on the information provided by other similar users. The memory-based approaches for collaborativ...
Rong Jin, Joyce Y. Chai, Luo Si
SIGIR
2002
ACM
13 years 8 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
CSCW
1998
ACM
14 years 25 days ago
Evaluating Emergent Collaboration on the Web
Links between web sites can be seen as evidence of a type of emergent collaboration among web site authors. We report here on an empirical investigation into emergent collaboratio...
Loren G. Terveen, William C. Hill
RECSYS
2009
ACM
14 years 3 months ago
Rating aggregation in collaborative filtering systems
Recommender systems based on user feedback rank items by aggregating users’ ratings in order to select those that are ranked highest. Ratings are usually aggregated using a weig...
Florent Garcin, Boi Faltings, Radu Jurca, Nadine J...
SIGIR
2005
ACM
14 years 2 months ago
Scalable collaborative filtering using cluster-based smoothing
Memory-based approaches for collaborative filtering identify the similarity between two users by comparing their ratings on a set of items. In the past, the memory-based approache...
Gui-Rong Xue, Chenxi Lin, Qiang Yang, Wensi Xi, Hu...