362 search results - page 11 / 73 » Learning preferences of new users in recommender systems: an... |
UM
2007
Springer
14 years 1 months ago
2007
Springer
Recommender systems are gaining widespread acceptance in e-commerce applications to confront the “information overload” problem. Collaborative Filtering (CF) is a successful re...
HT
2010
ACM
13 years 9 months ago
2010
ACM
1 Tags are an important information source in Web 2.0. They can be used to describe users’ topic preferences as well as the content of items to make personalized recommendations....
ESWA
2008
13 years 7 months ago
2008
Recommender systems base their operation on past user ratings over a collection of items, for instance, books, CDs, etc. Collaborative filtering (CF) is a successful recommendatio...
FLAIRS
2010
13 years 8 months ago
2010
Recommender systems (RSs) are popular tools dealing with information overload problems in eCommerce Web sites. RSs match user preferences with item representations and recommend t...
STAIRS
2008
13 years 9 months ago
2008
Since the beginning of the 1990's, the Internet has constantly grown, proposing more and more services and sources of information. The challenge is no longer to provide users ...