An approach to probabilistic retrieval

Authors:
C. T. Yu;K. Lam
Affiliations:
Univ. of Illinois at Chicago Circle, Chicago, IL;Hong Kong University, Hong Kong
Venue:
SIGIR '81 Proceedings of the 4th annual international ACM SIGIR conference on Information storage and retrieval: theoretical issues in information retrieval
Year:
1981

Citing 6
Cited 0

Precision Weighting—An Effective Automatic Indexing Method

Journal of the ACM (JACM)
A Statistical Model for Relevance Feedback in Information Retrieval

Journal of the ACM (JACM)
On the Construction of Feedback Queries

Journal of the ACM (JACM)
Term Weighting in Information Retrieval Using the Term Precision Model

Journal of the ACM (JACM)
Information Retrieval

Information Retrieval
Automatic Information Organization and Retrieval.

Automatic Information Organization and Retrieval.

Quantified Score

Hi-index	0.00

Visualization

Abstract

The objective is to relate the effectiveness of retrieval, the fuzzy set concept and the processing of Boolean query. The use of a probabilistic retrieval scheme is motivated. It is found that there is a correspondence between probabilistic retrieval schmes and fuzzy sets. A fuzzy set corresponding to a potentially optimal probabilistic retrieval scheme is obtained. Then the retrieval scheme for the fuzzy set is constructed.