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» Improving People Search Using Query Expansions
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ECIR
2008
Springer
14 years 11 days ago
Robust Query-Specific Pseudo Feedback Document Selection for Query Expansion
In document retrieval using pseudo relevance feedback, after initial ranking, a fixed number of top-ranked documents are selected as feedback to build a new expansion query model. ...
Qiang Huang, Dawei Song, Stefan M. Rüger
CHI
2011
ACM
13 years 2 months ago
No clicks, no problem: using cursor movements to understand and improve search
Understanding how people interact with search engines is important in improving search quality. Web search engines typically analyze queries and clicked results, but these actions...
Jeff Huang, Ryen W. White, Susan T. Dumais
SIGIR
2010
ACM
13 years 11 months ago
Learning to rank query reformulations
Query reformulation techniques based on query logs have recently proven to be effective for web queries. However, when initial queries have reasonably good quality, these techniqu...
Van Dang, Michael Bendersky, W. Bruce Croft
TREC
1994
14 years 7 days ago
Automatic Query Expansion Using SMART: TREC 3
The Smart information retrieval project emphasizes completely automatic approaches to the understanding and retrieval of large quantities of text. We continue our work in TREC 3, ...
Chris Buckley, Gerard Salton, James Allan, Amit Si...
ECIR
2007
Springer
14 years 11 days ago
Automatic Morphological Query Expansion Using Analogy-Based Machine Learning
Information retrieval systems (IRSs) usually suffer from a low ability to recognize a same idea that is expressed in different forms. A way of improving these systems is to take ...
Fabienne Moreau, Vincent Claveau, Pascale Sé...