362 search results - page 18 / 73 » Learning preferences of new users in recommender systems: an... |
CIKM
2010
Springer
13 years 6 months ago
2010
Springer
Current recommendation methods are mainly classified into contentbased, collaborative filtering and hybrid methods. These methods are based on similarity measurements among item...
GI
2005
Springer
14 years 1 months ago
2005
Springer
: A distributed service to model and control contextual information in mobile and ubiquitous computing environments is presented in this paper. We introduce the general user model ...
RECSYS
2009
ACM
14 years 2 months ago
2009
ACM
A common approach to designing Recommender Systems (RS) consists of asking users to explicitly rate items in order to collect feedback about their preferences. However, users have...
IUI
2003
ACM
14 years 24 days ago
2003
ACM
The Stock Tracker is an adaptive recommendation system for trading stocks that automatically acquires content-based models of user preferences to tailor its buy and sell advice. T...
SIGIR
2009
ACM
14 years 2 months ago
2009
ACM
As an indispensable technique in the field of Information Filtering, Recommender System has been well studied and developed both in academia and in industry recently. However, mo...