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A Probabilistic Logic for Information Retrieval

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Advances in Information Retrieval (ECIR 2005)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 3408))

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Abstract

One of the most important models for IR derives from the representation of documents and queries as vectors in a vector space. I will show how logic emerges from the geometry of such a vector space. As a consequence of looking at such a space in terms of states and observables I will show how an appropriate probability measure can be constructed on this space which may be the basis for a suitable probabilistic logic for information retrieval.

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© 2005 Springer-Verlag Berlin Heidelberg

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van Rijsbergen, C.J.‘. (2005). A Probabilistic Logic for Information Retrieval. In: Losada, D.E., Fernández-Luna, J.M. (eds) Advances in Information Retrieval. ECIR 2005. Lecture Notes in Computer Science, vol 3408. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-31865-1_1

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  • DOI: https://doi.org/10.1007/978-3-540-31865-1_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-25295-5

  • Online ISBN: 978-3-540-31865-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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