On smoothing average precision

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 7224 LNCS, Issue , 2012, Pages 158-169

  Robertson, Stephen ^a  

^a MICROSOFT RESEARCH   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

DATA SETS;

ARTIFICIAL INTELLIGENCE;

INFORMATION RETRIEVAL;

EID: 84860195551     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-28997-2_14     Document Type: Conference Paper

References (11)

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2. Buckley, C., Voorhees, E.: Evaluating evaluation measure stability. In: Belkin, N.J., Ingwersen, P., Leong, M.K. (eds.) SIGIR 2000: Proceedings of the 23rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 33-40. ACM Press, New York (2000)
3. Carterette, B.: Model-Based Inference about IR Systems. In: Amati, G., Crestani, F. (eds.) ICTIR 2011. LNCS, vol. 6931, pp. 101-112. Springer, Heidelberg (2011)
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6. Robertson, S.E., Sparck Jones, K.: Relevance weighting of search terms. Journal of the American Society for Information Science 27, 129-146 (1976), http://www.soi.city.ac.uk/~ser/papers/RSJ76.pdf
7. Robertson, S.: On document populations and measures of IR effectiveness. In: Dominich, S., Kiss, F. (eds.) Studies in Theory of Information Retrieval (Proceedings of ICTIR 2007), pp. 9-22. Foundation for Information Society, Budapest (2007)
8. Robertson, S.: A new interpretation of average precision. In: Myaeng, S.H., Oard, D.W., Sebastiani, F., Chua, T., Leong, M.K. (eds.) SIGIR 2008, pp. 689-690. ACM Press, New York (2008)
9. Wikipedia: Shapiro-Wilk test, http://en.wikipedia.org/wiki/ Shapiro%E2%80%93Wilk-test (visited January 4, 2012)
10. Yilmaz, E., Aslam, J.A.: Estimating average precision with incomplete and imperfect judgements. In: Yu, P.S., Tsotras, V.J., Fox, E.A., Liu, B. (eds.) CIKM 2006, pp. 102-111. ACM Press, New York (2006) (Pubitemid 47203557)
11. Yilmaz, E., Robertson, S.: On the choice of effectiveness measures for learning to rank. Information Retrieval 13(3), 271-290 (2010)