194 search results - page 10 / 39 » Learning to rank query reformulations |
150
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SIGIR
2011
ACM
14 years 4 months ago
2011
ACM
Test collections are the primary drivers of progress in information retrieval. They provide a yardstick for assessing the effectiveness of ranking functions in an automatic, rapi...
125
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SIGIR
2006
ACM
15 years 7 months ago
2006
ACM
The paper is concerned with applying learning to rank to document retrieval. Ranking SVM is a typical method of learning to rank. We point out that there are two factors one must ...
116
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CIKM
2010
Springer
15 years 10 days ago
2010
Springer
Traditional machine-learned ranking algorithms for web search are trained in batch mode, which assume static relevance of documents for a given query. Although such a batch-learni...
100
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HICSS
2006
IEEE
15 years 7 months ago
2006
IEEE
The classical (ad hoc) document retrieval problem has been traditionally approached through ranking according to heuristically developed functions (such as tf.idf or bm25) or gene...
105
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SIGIR
2002
ACM
15 years 1 months ago
2002
ACM
This paper follows a formal approach to information retrieval based on statistical language models. By introducing some simple reformulations of the basic language modeling approa...