395 search results - page 29 / 79 » Learning to rank with partially-labeled data |
125
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SIGIR
2010
ACM
15 years 5 months ago
2010
ACM
Ranking search results is a fundamental problem in information retrieval. In this paper we explore whether the use of proximity and phrase information can improve web retrieval ac...
150
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ICML
2006
IEEE
16 years 2 months ago
2006
IEEE
There has been much work on applying multiple-instance (MI) learning to contentbased image retrieval (CBIR) where the goal is to rank all images in a known repository using a smal...
130
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ROCAI
2004
Springer
15 years 7 months ago
2004
Springer
Abstract. In the field of Text Mining, a key phase in data preparation is concerned with the extraction of terms, i.e. collocation of words attached to specific concepts (e.g. Ph...
96
Voted
COLT
2006
Springer
15 years 5 months ago
2006
Springer
We are interested in supervised ranking with the following twist: our goal is to design algorithms that perform especially well near the top of the ranked list, and are only requir...
142
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WWW
2011
ACM
14 years 8 months ago
2011
ACM
Our objective is to improve the performance of keyword based image search engines by re-ranking their baseline results. To this end, we address three limitations of existing searc...