Predicting query performance for user-based search tasks

ADCS 2007 - Proceedings of the Twelfth Australasian Document Computing Symposium

Volumn , Issue , 2007, Pages 112-115

  Zhao, Ying ^a   Scholer, Falk ^a  

^a RMIT UNIVERSITY   (Australia)

Author keywords

Information retrieval; Query performance prediction; User study

Indexed keywords

DIRECT MEASURES; PERFORMANCE MEASURE; PREDICTED PERFORMANCE; PREDICTION TECHNIQUES; QUERY PERFORMANCE; QUERY PERFORMANCE PREDICTION; USER PERFORMANCE; USER STUDY;

INFORMATION RETRIEVAL;

FORECASTING;

EID: 77956013237     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Article

References (12)

1. P. Bailey, N. Craswell and D. Hawking. Engineering a multi-purpose test collection for web retrieval experiments. Information Processing and Management, Volume 39, Number 6, pages 853-871, 2003.
2. D. Carmel, E. Yom-Tov and I. Soboroff. SIGIR workshop report: predicting query difficulty-methods and applications. SIGIR Forum, Volume 39, Number 2, pages 25-28, 2005.
3. S. Cronen-Townsend, Y. Zhou and W. B. Croft. Predicting query performance. In Proceedings of the 22nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2002.
4. B. He and I. Ounis. Query performance prediction. Information System, Volume 31, Number 7, pages 585-594, 2006.
5. F. Scholer, H. E. Williams and A. Turpin. Query association surrogates for web search. American Society for Information Science and Technology, Volume 55, Number 7, pages 637-650, 2004.
6. D. Sheskin. Handbook of parametric and nonparametric statistical proceedures. CRC Press, 1997.
7. A. Turpin and F. Scholer. User performance versus precision measures for simple search tasks. In Proceedings of the 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 11-18, Seattle, USA, 2006.
8. E. M. Voorhees. Overview of the TREC 2005 robust retrieval track. In The Fourteenth Text REtrieval Conference (TREC 2005), Gaithersburg, MD, 2006. National Institute of Standards and Technology Special Publication 500-266.
9. E. Yom-Tov, S. Fine, D. Carmel and A. Darlow. Learning to estimate query difficulty: including applications to missing content detection and distributed information retrieval. In Proceedings of the 22nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 512-519, Salvador, Brazil, 2005.
10. Y. Zhao, F. Scholer and Y. Tsegay. Effective pre-retrieval query performance prediction using similarity and variability evidence. In submission.
11. Y. Zhou and W. B. Croft. Ranking robustness: a novel framework to predict query performance. In Proceedings of the 15th ACM CIKM International Conference on Information Knowledge Management, pages 567-574, Arlington, Virginia, USA, 2006.
12. Y. Zhou and W. B. Croft. Query performance prediction in web search environments. In Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 543-550, Amsterdam, The Netherlands, 2007.