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» Session 12: Information Retrieval
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CHI
2009
ACM
15 years 10 months ago
Predicting query reformulation during web searching
This paper reports results from a study in which we automatically classified the query reformulation patterns for 964,780 Web searching sessions (composed of 1,523,072 queries) in...
Bernard J. Jansen, Danielle L. Booth, Amanda Spink
PVLDB
2010
143views more  PVLDB 2010»
14 years 8 months ago
Embellishing Text Search Queries To Protect User Privacy
Users of text search engines are increasingly wary that their activities may disclose confidential information about their business or personal profiles. It would be desirable f...
HweeHwa Pang, Xuhua Ding, Xiaokui Xiao
SIGIR
2008
ACM
14 years 9 months ago
Learning to rank at query-time using association rules
Some applications have to present their results in the form of ranked lists. This is the case of many information retrieval applications, in which documents must be sorted accordi...
Adriano Veloso, Humberto Mossri de Almeida, Marcos...
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ITNG
2006
IEEE
15 years 3 months ago
Overlap Among Major Web Search Engines
Purpose – This paper reports the findings of a major study examining the overlap among results retrieved by three major web search engines. The goal of the research was to: mea...
Amanda Spink, Bernard J. Jansen, Chris Blakely, Sh...
CIKM
2010
Springer
14 years 8 months ago
Learning to rank relevant and novel documents through user feedback
We consider the problem of learning to rank relevant and novel documents so as to directly maximize a performance metric called Expected Global Utility (EGU), which has several de...
Abhimanyu Lad, Yiming Yang