25 search results - page 2 / 5 » Predicting Neighbor Goodness in Collaborative Filtering |
ECWEB
2007
Springer
13 years 11 months ago
2007
Springer
The open nature of collaborative recommender systems present a security problem. Attackers that cannot be readily distinguished from ordinary users may inject biased profiles, deg...
ICDM
2007
IEEE
13 years 11 months ago
2007
IEEE
Recommender systems based on collaborative filtering predict user preferences for products or services by learning past user-item relationships. A predominant approach to collabo...
IR
2002
13 years 4 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...
ADC
2009
Springer
13 years 11 months ago
2009
Springer
This paper presents a detailed study of the behavior of three different content-based collaborative filtering metrics (correlation, cosine and mean squared difference) when they a...
EUSFLAT
2003
13 years 6 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...