362 search results - page 15 / 73 » Learning preferences of new users in recommender systems: an... |
GI
2010
Springer
13 years 4 months ago
2010
Springer
Abstract: Preference elicitation is often used in e-services to create product recommendations for their customers. We present an approach for applying preference elicitation techn...
TSMC
2008
13 years 7 months ago
2008
Abstract--Recommender systems are gaining widespread acceptance in e-commerce applications to confront the "information overload" problem. Providing justification to a re...
UM
2010
Springer
13 years 11 months ago
2010
Springer
A user’s informational need and preferences can be modeled by criteria, which in turn can be used to prioritize candidate results and produce a ranked list. We examine the use of...
DNIS
2003
Springer
14 years 22 days ago
2003
Springer
Abstract. As the number of web pages increases dramatically, the problem of the information overload becomes more severe when browsing and searching the WWW. To alleviate this prob...
RECSYS
2009
ACM
14 years 5 days ago
2009
ACM
Critiquing-based recommenders do not require users to state all of their preferences upfront or rate a set of previously experienced products. Compared to other types of recommend...