362 search results - page 17 / 73 » Learning preferences of new users in recommender systems: an... |
EWCBR
2000
Springer
13 years 11 months ago
2000
Springer
Collaborative filtering systems make recommendations based on the accumulation of ratings by many users. The process has a case-based reasoning flavor: recommendations are generate...
ICDM
2005
IEEE
14 years 1 months ago
2005
IEEE
Collaborative filtering-based recommender systems, which automatically predict preferred products of a user using known preferences of other users, have become extremely popular ...
VW
2009
Springer
14 years 2 months ago
2009
Springer
—Over two decades, a great expectation on digital museums has been addressed but most of them have been implemented based on web technologies. Emerging Second Life, which support...
AAAI
2010
13 years 9 months ago
2010
With the increasing popularity of location tracking services such as GPS, more and more mobile data are being accumulated. Based on such data, a potentially useful service is to m...
ECIR
2009
Springer
14 years 4 months ago
2009
Springer
Abstract. Learning ranking functions is crucial for solving many problems, ranging from document retrieval to building recommendation systems based on an individual user’s prefer...