567 search results - page 12 / 114 » Collaborative recommender systems: Combining effectiveness a... |
RECSYS
2009
ACM
14 years 1 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...
WWW
2009
ACM
14 years 8 months ago
2009
ACM
We present a probabilistic model for generating personalised recommendations of items to users of a web service. The Matchbox system makes use of content information in the form o...
CSCW
2002
ACM
13 years 7 months ago
2002
ACM
Collaborative filtering has proven to be valuable for recommending items in many different domains. In this paper, we explore the use of collaborative filtering to recommend resea...
RECSYS
2010
ACM
13 years 7 months ago
2010
ACM
A recommender system has to collect users' preference data. To collect such data, rating or scoring methods that use rating scales, such as good-fair-poor or a five-point-sca...
IR
2002
13 years 7 months ago
2002
Collaborative filtering systems predict a user's interest in new items based on the recommendations of other people with similar interests. Instead of performing content index...