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» Language Models of Collaborative Filtering
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AIRS
2009
Springer
13 years 11 months ago
Language Models of Collaborative Filtering
Abstract. Collaborative filtering is a major technique to make personalized recommendations about information items (movies, books, webpages etc) to individual users. In the liter...
Jun Wang
UM
2007
Springer
13 years 10 months ago
Cross-Domain Mediation in Collaborative Filtering
One of the main problems of collaborative filtering recommenders is the sparsity of the ratings in the users-items matrix, and its negative effect on the prediction accuracy. This ...
Shlomo Berkovsky, Tsvi Kuflik, Francesco Ricci
IR
2006
13 years 4 months ago
A study of mixture models for collaborative filtering
Collaborative filtering is a general technique for exploiting the preference patterns of a group of users to predict the utility of items for a particular user. Three different co...
Rong Jin, Luo Si, Chengxiang Zhai
CIKM
2004
Springer
13 years 9 months ago
Unified filtering by combining collaborative filtering and content-based filtering via mixture model and exponential model
Collaborative filtering and content-based filtering are two types of information filtering techniques. Combining these two techniques can improve the recommendation effectiveness....
Luo Si, Rong Jin
CSCW
1998
ACM
13 years 8 months ago
Using Filtering Agents to Improve Prediction Quality in the GroupLens Research Collaborative Filtering System
Collaborative filtering systems help address information overload by using the opinions of users in a community to make personal recommendations for documents to each user. Many c...
Badrul M. Sarwar, Joseph A. Konstan, Al Borchers, ...