531 search results - page 15 / 107 » Methods for boosting recommender systems |
WETICE
2006
IEEE
14 years 1 months ago
2006
IEEE
In this paper we present a trust-oriented method that can be used when building P2P recommender systems. We discuss its benefits in comparison to centralized solutions, its requir...
RECSYS
2009
ACM
14 years 2 months ago
2009
ACM
Previous work on using external aggregate rating information showed that this information can be incorporated in several different types of recommender systems and improves their...
RECSYS
2009
ACM
14 years 2 months ago
2009
ACM
Top-N item recommendation is one of the important tasks of recommenders. Collaborative filtering is the most popular approach to building recommender systems which can predict ra...
ISMIS
2005
Springer
14 years 1 months ago
2005
Springer
Most recommendation systems employ variations of Collaborative Filtering (CF) for formulating suggestions of items relevant to users’ interests. However, CF requires expensive co...
KDD
1999
ACM
13 years 12 months ago
1999
ACM
We propose to use AdaBoost to efficiently learn classifiers over very large and possibly distributed data sets that cannot fit into main memory, as well as on-line learning wher...