362 search results - page 4 / 73 » Learning preferences of new users in recommender systems: an... |
WWW
2011
ACM
13 years 2 months ago
2011
ACM
As context is acknowledged as an important factor that can affect users’ preferences, many researchers have worked on improving the quality of recommender systems by utilizing ...
UAI
2003
13 years 8 months ago
2003
Collaborative filtering (CF) and contentbased filtering (CBF) have widely been used in information filtering applications, both approaches having their individual strengths and...
KDD
2005
ACM
14 years 7 months ago
2005
ACM
Web users display their preferences implicitly by navigating through a sequence of pages or by providing numeric ratings to some items. Web usage mining techniques are used to ext...
AAAI
2012
11 years 10 months ago
2012
We propose a novel sequential decision approach to modeling ordinal ratings in collaborative filtering problems. The rating process is assumed to start from the lowest level, eva...
CORR
2002
Springer
13 years 7 months ago
2002
Springer
Recommender systems learn about user preferences over time, automatically finding things of similar interest. This reduces the burden of creating explicit queries. Recommender sys...