A probability distribution model for information retrieval

A probability distribution model for information retrieval is proposed in this article. In contrast to other approaches, each document in the new model is characterized by a simple probability measure on the set of index terms. Based on this interpretation of document representation, two different r...

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Bibliographic Details
Published in:Information processing & management 1989, Vol.25 (1), p.39-53
Main Authors: Wong, S.K.M., Yao, Y.Y.
Format: Article
Language:English
Subjects:
Comparative analysis
Computerized information storage and retrieval
Computerized subject indexing
Exact sciences and technology
Information and communication sciences
Information retrieval
Information science. Documentation
Information storage and retrieval
Information work
Library and information science. General aspects
Logic
Mathematical models
Probability
Probability distribution
Sciences and techniques of general use
Subject indexing
Technical services
Theories, definitions and sources in information science
Vector space
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Summary:A probability distribution model for information retrieval is proposed in this article. In contrast to other approaches, each document in the new model is characterized by a simple probability measure on the set of index terms. Based on this interpretation of document representation, two different retrieval strategies are discussed. One is based on utility theory and the other is derived from information theory. The new model not only enhances retrieval effectiveness as demonstrated by experiments, but also provides valuable insight into many fundamental concepts introduced over the years in a variety of retrieval models.
ISSN:0306-4573
1873-5371
DOI:10.1016/0306-4573(89)90090-3