Abstract
Recently, cluster-based retrieval has been successfully applied to improve retrieval effectiveness. The core part of cluster-based retrieval is inter-document similarities. Although inter-document similarities can be investigated independently of cluster-based retrieval and be further improved in various ways, their direct evaluation has not been seriously considered. Considering that there are many cluster-based retrieval methods, such a direct evaluation method can separate the work of inter-document similarities from the work of cluster-based retrieval. For this purpose, this paper revisits Voorhee’s nearest neighbor test as such a direct evaluation, by mainly focusing on whether or not the test is correlated to the retrieval effectiveness. Experimental results consistently verify the use of the nearest neighbor test. As a result, we conclude that the improvement of retrieval effectiveness can be well-predictable from direct evaluation, even without performing runs of cluster-based retrieval.
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References
Kurland, O., Lee, L.: Corpus structure, language models, and ad hoc information retrieval. In: SIGIR 2004, pp. 194–201 (2004)
Tao, T., Wang, X., Mei, Q., Zhai, C.: Language model information retrieval with document expansion. In: HLT-NAACL 2006, pp. 407–414 (2006)
Rijsbergen, C.J.V.: Information Retrieval. Butterworth-Heinemann (1979)
Calado, P., Cristo, M., Gonçalves, M.A., de Moura, E.S., Ribeiro-Neto, B., Ziviani, N.: Link-based similarity measures for the classification of web documents. Journal of American Society for Information Science and Technology (JASIST) 57(2), 208–221 (2006)
Bartell, B.T., Cottrell, G.W., Belew, R.K.: Representing documents using an explicit model of their similarities, vol. 46, pp. 254–271. John Wiley, New York (1995)
Tombros, A., van Rijsbergen, C.J.: Query-sensitive similarity measures for the calculation of interdocument relationships. In: CIKM 2001, pp. 17–24. ACM, New York (2001)
Voorhees, E.M.: The cluster hypothesis revisited. In: SIGIR 1985, pp. 188–196 (1985)
Hiemstra, D., Robertson, S., Zaragoza, H.: Parsimonious language models for information retrieval. In: SIGIR 2004, pp. 178–185 (2004)
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© 2008 Springer-Verlag Berlin Heidelberg
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Na, SH., Kang, IS., Lee, JH. (2008). Revisit of Nearest Neighbor Test for Direct Evaluation of Inter-document Similarities. In: Macdonald, C., Ounis, I., Plachouras, V., Ruthven, I., White, R.W. (eds) Advances in Information Retrieval. ECIR 2008. Lecture Notes in Computer Science, vol 4956. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-78646-7_77
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DOI: https://doi.org/10.1007/978-3-540-78646-7_77
Publisher Name: Springer, Berlin, Heidelberg
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