270 search results - page 15 / 54 » Explaining collaborative filtering recommendations |
ECWEB
2011
Springer
12 years 7 months ago
2011
Springer
The accuracy of collaborative filtering recommender systems largely depends on two factors: the quality of the recommendation algorithm and the nature of the available item rating...
ECSCW
2001
13 years 9 months ago
2001
We present PolyLens, a new collaborative filtering recommender system designed to recommend items for groups of users, rather than for individuals. A group recommender is more appr...
EUSFLAT
2003
13 years 9 months ago
2003
In recommender systems, user ratings of items are often represented in terms of linguistic labels such as “fair” or “very good”. We investigate the potential of fuzzy sets...
RECSYS
2009
ACM
14 years 2 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...
IAT
2009
IEEE
14 years 2 months ago
2009
IEEE
Collaborative Filtering based on similarity suffers from a variety of problems such as sparsity and scalability. In this paper, we propose an ontological model of trust between us...