194 search results - page 20 / 39 » Learning to rank query reformulations |
129
Voted
TREC
2003
15 years 3 months ago
2003
Ranking functions are instrumental for the success of an information retrieval (search engine) system. However nearly all existing ranking functions are manually designed based on...
124
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ICWSM
2009
14 years 11 months ago
2009
User generated content is extremely valuable for mining market intelligence because it is unsolicited. We study the problem of analyzing users' sentiment and opinion in their...
133
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CIKM
2009
Springer
15 years 8 months ago
2009
Springer
Given a drug under development, what are other drugs or biochemical compounds that it might interact with? Early answers to this question, by mining the literature, are valuable f...
110
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IADIS
2004
15 years 3 months ago
2004
Relevance feedback has been considered as a means of incorporating learning into information retrieval systems for quite sometime now. This paper discusses the research results of...
133
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IPM
2008
15 years 1 months ago
2008
Many machine learning technologies such as support vector machines, boosting, and neural networks have been applied to the ranking problem in information retrieval. However, since...