Learning to rank query reformulations

SIGIR 2010 Proceedings - 33rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval

Volumn , Issue , 2010, Pages 807-808

  Dang, Van ^a   Bendersky, Michael ^a   Croft, W Bruce ^a  

^a University of Massachusetts Amherst   (United States)

Author keywords

Learning to rank; Query expansion; Query log; Query performance predictor; Query reformulation

Indexed keywords

LEARNING TO RANK; QUERY EXPANSION; QUERY LOGS; QUERY PERFORMANCE; QUERY REFORMULATION;

INFORMATION RETRIEVAL;

EID: 77956028454     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1835449.1835626     Document Type: Conference Paper

References (8)

1. S. Cronen-Townsend, Y. Zhou, and W.B. Croft. Predicting Query Performance. In Proc. of SIGIR, pages 299-306, 2002.
2. V. Dang and W.B. Croft. Query Reformulation Using Anchor Text. In Proc. of WSDM, pages 41-50, 2010.
3. R. Jones, B. Rey and O. Madani. Generating Query Substitutions. In Proc. of WWW, pages 387-396, 2006.
4. G. Kumaran and V.R. Carvalho. Reducing Long Queries Using Query Quality Predictors. In Proc. of SIGIR, pages 564-571, 2009.
5. Proc. of the 2009 workshop on Web Search Click Data, Barcelona, Spain. ACM New York, NY, USA, 2009.
6. X. Wang and C. Zhai. Mining Term Association Patterns from Search Logs for Effective Query Reformulation. In Proc. of CIKM, pages 479-488, 2008.
7. J. Xu and H. Li. AdaRank: A Boosting Algorithm for Information Retrieval. In Proc. of SIGIR, pages 391-398, 2007.
8. Y. Zhao, F. Scholer, and Y. Tsegay. Effective Pre-retrieval Query Performance Prediction Using Similarity and Variability Evidence. In Proc. of ECIR, pages 52-64, 2008.