Document (#11007)

Author

Wong, S.K.M.

Title

On modelling information retrieval with probabilistic inference

Source

ACM transactions on information systems. 13(1995) no.1, S.38-68

Year

1995

Abstract

Examines and extends the logical models of information retrieval in the context of probability theory and extends the applications of these fundamental ideas to term weighting and relevance. Develops a unified framework for modelling the retrieval process with probabilistic inference to provide a common conceptual and mathematical basis for many retrieval models, such as Boolean, fuzzy sets, vector space, and conventional probabilistic models. Employs this framework to identify the underlying assumptions by each model and analyzes the inherent relationships between them. Although the treatment is primarily theoretical, practical methods for rstimating the required probabilities are provided by simple examples

Theme

Retrievalalgorithmen

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5. Cooper, W.S.: Some inconsistencies and misidentified modelling assumptions in probalistic information retrieval (1995) 0.26

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