395 search results - page 13 / 79 » Learning to rank with partially-labeled data |
100
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JMLR
2010
14 years 6 months ago
2010
This paper aims to tackle the very interesting and important problem of user personalized ranking of search results. The focus is on news retrieval and the data from which the ran...
107
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ICML
2008
IEEE
16 years 15 days ago
2008
IEEE
Learning to rank is becoming an increasingly popular research area in machine learning. The ranking problem aims to induce an ordering or preference relations among a set of insta...
109
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SIGIR
2009
ACM
15 years 6 months ago
2009
ACM
This paper addresses the problem of Named Entity Recognition in Query (NERQ), which involves detection of the named entity in a given query and classification of the named entity...
103
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ICCV
2007
IEEE
16 years 1 months ago
2007
IEEE
Closing the semantic gap in content based image retrieval (CBIR) basically requires the knowledge of the user's intention which is usually translated into a sequence of quest...
101
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AI
2008
Springer
14 years 12 months ago
2008
Springer
Preference learning is a challenging problem that involves the prediction of complex structures, such as weak or partial order relations, rather than single values. In the recent ...