124 search results - page 1 / 25 » Rating aggregation in collaborative filtering systems |
RECSYS
2009
ACM
13 years 11 months ago
2009
ACM
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...
UM
2007
Springer
13 years 10 months ago
2007
Springer
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 ...
CHI
1995
ACM
13 years 8 months ago
1995
ACM
Collaborative filtering is based on the premise that people looking for information should be able to make use of what others have already found and evaluated. Current collaborati...
WECWIS
2005
IEEE
13 years 10 months ago
2005
IEEE
Singular Value Decomposition (SVD), together with the Expectation-Maximization (EM) procedure, can be used to find a low-dimension model that maximizes the loglikelihood of obser...
CSCW
1998
ACM
13 years 8 months ago
1998
ACM
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...