Use of dynamic discrimination values in a document retrieval system

Authors:
Robert T. Dattola
Affiliations:
Xerox Corporation, Rochester, NY
Venue:
SIGIR '79 Proceedings of the 2nd annual international ACM SIGIR conference on Information storage and retrieval: information implications into the eighties
Year:
1979

Citing 4
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Precision Weighting—An Effective Automatic Indexing Method

Journal of the ACM (JACM)
Automatic dictionary construction and updating.

Automatic dictionary construction and updating.
Dynamic information and library processing

Dynamic information and library processing
The SMART Retrieval System—Experiments in Automatic Document Processing

The SMART Retrieval System—Experiments in Automatic Document Processing

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Abstract

The use of discrimination values as a term weighting function in document retrieval systems is examined. It is shown that regular discrimination values are too costly to compute after every update to the data base. Dynamic discrimination values that are easy to update are defined for use as approximations to regular values. Experiments are performed comparing regular vs. dynamic discrimination values. Actual user queries from an operational data base are used to evaluate dynamic discrimination values in a production environment. Generalized forms of normalized recall and precision are used as evaluation measures. Retrieval results indicate statistically significant improvements using dynamic discrimination weighting.