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Similarity: Measurement, Ordering and Betweenness

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3214))

Abstract

This paper presents an overview of the challenges of producing a list of retrieval results ranked according to perceptual similarity. We explain some of the problems in using a metric to measure peceptual similarity, and consider the arguments for the desirability of metrics for retrieval. We discuss the use of broader definitions of betweenness to produce such a ranking of retrieval results. We propose some initial ideas of a notion of projective betweenness that makes explicit the intuition that two referents should be used when producing a similarity ranking, and indicate how it might be used in relevance feedback.

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© 2004 Springer-Verlag Berlin Heidelberg

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ten Brinke, W., Squire, D.M., Bigelow, J. (2004). Similarity: Measurement, Ordering and Betweenness. In: Negoita, M.G., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2004. Lecture Notes in Computer Science(), vol 3214. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30133-2_132

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  • DOI: https://doi.org/10.1007/978-3-540-30133-2_132

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23206-3

  • Online ISBN: 978-3-540-30133-2

  • eBook Packages: Springer Book Archive

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