✦ LIBER ✦

A probabilistic method for computing term-by-term relationships

✍ Scribed by Wong, S. K. M. ;Yao, Y. Y.

Publisher: John Wiley and Sons
Year: 1993
Tongue: English
Weight: 952 KB
Volume: 44
Category: Article
ISSN: 0002-8231
DOI: 10.1002/(sici)1097-4571(199309)44:8<431::aid-asi1>3.0.co;2-v

No coin nor oath required. For personal study only.

✦ Synopsis

This article suggests a probabilistic method to compute the term relationships from relevance information, which complements the studies on a nonprobabilistic technique called pseudo-classification. A quadratic ranking function (i.e., a bilinear function) on the components of document and query vectors is derived by incorporating the term-by-term relationships.

The conventional probabilistic indexing model, the probabilistic retrieval model, and our earlier generalized model are special cases of the proposed model. By exploring the different views of probability, procedures for estimating the required parameters are provided.

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