551 search results - page 20 / 111 » Learning to rank for information retrieval (LR4IR 2008) |
171
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SIGIR
2010
ACM
15 years 10 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...
152
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CIKM
2009
Springer
16 years 20 days ago
2009
Springer
Despite the widespread use of BM25, there have been few studies examining its effectiveness on a document description over single and multiple field combinations. We determine t...
181
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WWW
2008
ACM
16 years 6 months ago
2008
ACM
Community Question Answering has emerged as a popular and effective paradigm for a wide range of information needs. For example, to find out an obscure piece of trivia, it is now ...
160
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CIKM
2005
Springer
15 years 8 months ago
2005
Springer
This paper presents a new pooling method for constructing the assessment sets used in the evaluation of retrieval systems. Our proposal is based on RankBoost, a machine learning v...
152
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KDD
2006
ACM
16 years 6 months ago
2006
ACM
Several algorithms have been proposed to learn to rank entities modeled as feature vectors, based on relevance feedback. However, these algorithms do not model network connections...