8 search results - page 1 / 2 » Using Filtering Agents to Improve Prediction Quality in the ... |
CSCW
1998
ACM
13 years 9 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...
SAC
2008
ACM
13 years 4 months ago
2008
ACM
Recommender Systems (RS) aim at predicting items or ratings of items that the user are interested in. Collaborative Filtering (CF) algorithms such as user- and item-based methods ...
AAAI
2006
13 years 6 months ago
2006
We describe a recommender system which uses a unique combination of content-based and collaborative methods to suggest items of interest to users, and also to learn and exploit it...
AAAI
2012
11 years 7 months ago
2012
To solve the sparsity problem in collaborative filtering, researchers have introduced transfer learning as a viable approach to make use of auxiliary data. Most previous transfer...
WEBDB
2010
Springer
13 years 10 months ago
2010
Springer
We consider in this paper a popular class of recommender systems that are based on Collaborative Filtering (CF for short). CF is the process of predicting customer ratings to item...