Abstract
The two previous probabilistic models of information retrieval, which seemed to be in some sense incompatible, can now be regarded as two complementary parts of a unified model. The new Model 3, which is derived in the framework of the unified model from a combination of Models 1 and 2, makes use of relevance feedback information from the individual user about other documents, and from other users about the individual document.
A necessary consequence of the unification of the two models was a reconsideration of the underlying conceptual basis, and in particular of the role of the index language.
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References
Cooper, W.S. and Huizinga, P. (1982). The maximum entropy principle and its application to the design of probabilistic retrieval systems. Information Technology: Research and Development 1, 99–112.
Cox, D.R. (1970) The analysis of binary data. London: Methuen.
Robertson, S.E., Maron, M.E. and Cooper, W.S. (1982). Probability of relevance: a unification of two competing models for document retrieval. Information Technology: Research and Development 1, 1–21.
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© 1983 Springer-Verlag Berlin Heidelberg
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Robertson, S.E., Maron, M.E., Cooper, W.S. (1983). The unified probabilistic model for IR. In: Salton, G., Schneider, HJ. (eds) Research and Development in Information Retrieval. SIGIR 1982. Lecture Notes in Computer Science, vol 146. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0036342
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DOI: https://doi.org/10.1007/BFb0036342
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