119 search results - page 20 / 24 » Preference Elicitation and Query Learning |
KDD
2008
ACM
14 years 7 months ago
2008
ACM
Learning to rank from relevance judgment is an active research area. Itemwise score regression, pairwise preference satisfaction, and listwise structured learning are the major te...
ER
2006
Springer
13 years 11 months ago
2006
Springer
One of the main drawbacks of the Semantic Web is the lack of semantically rich data, since most of the information is still stored in relational databases. In this paper, we presen...
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 ...
AIRS
2010
Springer
13 years 5 months ago
2010
Springer
This paper is concerned with a new task of ranking, referred to as "supplementary data assisted ranking", or "supplementary ranking" for short. Different from c...
CIKM
2010
Springer
13 years 6 months ago
2010
Springer
We demonstrate a method for collaborative ranking of future events. Previous work on recommender systems typically relies on feedback on a particular item, such as a movie, and ge...