Query ambiguity revisited: Clickthrough measures for distinguishing informational and ambiguous queries

NAACL HLT 2010 - Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Proceedings of the Main Conference

Volumn , Issue , 2010, Pages 361-364

  Wang, Yu ^a   Agichtein, Eugene ^a  

^a EMORY UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CLICKTHROUGH DATA; OPEN PROBLEMS; QUERY CLASS; WEB SEARCHES;

SEARCH ENGINES;

COMPUTATIONAL LINGUISTICS;

EID: 84863338107     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

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2. X. Li, Y.Y. Wang, and A. Acero. 2008. Learning query intent from regularized click graphs. In SIGIR, pages 339-346.
3. Q. Mei and K. Church. 2008. Entropy of search logs: how hard is search? with personalization? with backoff? In Proc. of WSDM, pages 45-54. (Pubitemid 351588778)
4. D. E. Rose and D. Levinson. 2004. Understanding user goals in web search. In Proc. of WWW, pages 13-19. (Pubitemid 40752736)
5. J. Teevan, S. T. Dumais, and D. J. Liebling. 2008. To personalize or not to personalize: modeling queries with variation in user intent. In Proc. of SIGIR, pages 163-170.
6. G. Zhu and G. Mishne. 2009. Mining rich session context to improve web search. In Proc. of KDD, pages 1037-1046.