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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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
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