46 search results - page 3 / 10 » Applying learning algorithms to preference elicitation |
107
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WWW
2009
ACM
16 years 1 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...
117
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KES
2005
Springer
15 years 6 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 ...
102
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ICPR
2008
IEEE
16 years 2 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...
116
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SEAL
1998
Springer
15 years 5 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...
119
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CIKM
2009
Springer
15 years 7 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....