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CSCW
1998
ACM
13 years 9 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, ...
CIDM
2007
IEEE
13 years 11 months ago
One-shot Collaborative Filtering
— We propose a new one-shot collaborative filtering method. In contrast to the conventional methods, which predict unobserved ratings individually and independently, our method ...
Shuhei Kuwata, Naonori Ueda
ICDIM
2007
IEEE
13 years 5 months ago
Assessing the value of unrated items in collaborative filtering
In collaborative filtering systems, a common technique is default voting. Unknown ratings are filled with a default value to alleviate the sparsity of rating databases. We show ...
Jérôme Kunegis, Andreas Lommatzsch, M...
COOPIS
2004
IEEE
13 years 9 months ago
Trust-Aware Collaborative Filtering for Recommender Systems
Recommender Systems allow people to find the resources they need by making use of the experiences and opinions of their nearest neighbours. Costly annotations by experts are replac...
Paolo Massa, Paolo Avesani
ICDM
2005
IEEE
168views Data Mining» more  ICDM 2005»
13 years 11 months ago
A Scalable Collaborative Filtering Framework Based on Co-Clustering
Collaborative filtering-based recommender systems, which automatically predict preferred products of a user using known preferences of other users, have become extremely popular ...
Thomas George, Srujana Merugu