46 search results - page 3 / 10 » Applying learning algorithms to preference elicitation |
WWW
2009
ACM
14 years 5 months ago
2009
ACM
We consider the problem of identifying the consensus ranking for the results of a query, given preferences among those results from a set of individual users. Once consensus ranki...
KES
2005
Springer
13 years 10 months ago
2005
Springer
Pervasive computing environment and users’ demand for multimedia personalization precipitate a need for personalization tools to help people access desired multimedia content at ...
ICPR
2008
IEEE
14 years 5 months ago
2008
IEEE
Two major challenges in collaborative filtering are the efficiency of the algorithms and the quality of the recommendations. A variety of machine learning methods have been applie...
SEAL
1998
Springer
13 years 9 months ago
1998
Springer
Abstract. This paper deals with the problem of nurse rostering in Belgian hospitals. This is a highly constrained real world problem that was (until the results of this research we...
CIKM
2009
Springer
13 years 11 months ago
2009
Springer
Traditional boosting algorithms for the ranking problems usually employ the pairwise approach and convert the document rating preference into a binary-value label, like RankBoost....