2164 search results - page 233 / 433 » Learning to rank for information retrieval |
192
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ERCIMDL
2010
Springer
15 years 3 months ago
2010
Springer
Extracting titles from a PDFs full text is an important task in information retrieval to identify PDFs. Existing approaches apply complicated and expensive (in terms of calculating...
178
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IDA
2007
Springer
15 years 6 months ago
2007
Springer
Unsupervised sequence learning is important to many applications. A learner is presented with unlabeled sequential data, and must discover sequential patterns that characterize th...
189
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KDD
2005
ACM
16 years 7 months ago
2005
ACM
While scalable data mining methods are expected to cope with massive Web data, coping with evolving trends in noisy data in a continuous fashion, and without any unnecessary stopp...
182
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SIGIR
2004
ACM
15 years 12 months ago
2004
ACM
Pseudo feedback is a commonly used technique to improve information retrieval performance. It assumes a few top-ranked documents to be relevant, and learns from them to improve th...
177
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CIKM
2008
Springer
15 years 8 months ago
2008
Springer
In this paper, we proposed a unified strategy to combine query log and search results for query suggestion. In this way, we leverage both the users' search intentions for pop...