Using statistical testing in the evaluation of retrieval experiments

The standard strategies for evaluation based on precision and recall are examined and their relative advantages and disadvantages are discussed. In particular, it is suggested that relevance feedback be evaluated from the perspective of the user. A number of different statistical tests are described for determining if differences in performance between retrieval methods are significant. These tests have often been ignored in the past because most are based on an assumption of normality which is not strictly valid for the standard performance measures. However, one can test this assumption using simple diagnostic plots, and if it is a poor approximation, there are a number of non-parametric alternatives.

[1]  IJsbrand Jan Aalbersberg,et al.  Incremental relevance feedback , 1992, SIGIR '92.

[2]  V. Barnett,et al.  Applied Linear Statistical Models , 1975 .

[3]  Gerard Salton,et al.  Term-Weighting Approaches in Automatic Text Retrieval , 1988, Inf. Process. Manag..

[4]  M. F. Fuller,et al.  Practical Nonparametric Statistics; Nonparametric Statistical Inference , 1973 .

[5]  Jean Tague-Sutcliffe,et al.  The Pragmatics of Information Retrieval Experimentation Revisited , 1997, Inf. Process. Manag..

[6]  Padmini Srinivasan A comparison of two-poisson, inverse document frequency and discrimination value models of document representation , 1990, Inf. Process. Manag..

[7]  Gerard Salton,et al.  Improving retrieval performance by relevance feedback , 1997, J. Am. Soc. Inf. Sci..

[8]  D. Wolfe,et al.  Nonparametric Statistical Methods. , 1974 .

[9]  R. Iman,et al.  Approximations of the critical region of the fbietkan statistic , 1980 .

[10]  W. S. Cooper Expected search length: A single measure of retrieval effectiveness based on the weak ordering action of retrieval systems , 1968 .

[11]  J A Swets,et al.  Information Retrieval Systems. , 1963, Science.

[12]  Peter Schäuble,et al.  Determining the effectiveness of retrieval algorithms , 1991, Inf. Process. Manag..

[13]  Gerard Salton,et al.  The State of Retrieval System Evaluation , 1992, Inf. Process. Manag..

[14]  E. Michael Keen,et al.  Presenting Results of Experimental Retrieval Comparisons , 1997, Inf. Process. Manag..

[15]  Alexander Dekhtyar,et al.  Information Retrieval , 2018, Lecture Notes in Computer Science.