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Journal ArticleDOI

A model for a weighted retrieval system

TLDR
This work looks at the weights from an entirely different approach involving thresholds, and generates an improved evaluation mechanism which seems to fulfill a larger subset of the desired criteria than previous mechanisms.
Abstract
There has been a good deal of work on information retrieval systems that have continuous weights assigned to the index terms that describe the records in the database, and/or to the query terms that describe the user queries. Recent articles have analyzed retrieval systems with continuous weights of either type and/or with a Boolean structure for the queries. They have also suggested criteria which such systems ought to satisfy and record evaluation mechanisms which partially satisfy these criteria. We offer a more careful analysis, based on a generalization of the discrete weights. We also look at the weights from an entirely different approach involving thresholds, and we generate an improved evaluation mechanism which seems to fulfill a larger subset of the desired criteria than previous mechanisms. This new mechanism allows the user to attach a “threshold” to the query term.

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Citations
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Journal ArticleDOI

Developments in automatic text retrieval.

TL;DR: The text analysis problem is examined, and modern approaches leading to the identification and retrieval of selected text items in response to search requests are discussed.
Journal ArticleDOI

A Fuzzy Linguistic Approach Generalizing Boolean Information Retrieval: a Model and its Evaluation

TL;DR: A fuzzy linguistic model is defined, starting from an existing weighted Boolean retrieval model, a linguistic extension, formalized within fuzzy set theory, in which numeric query weights are replaced by linguistic descriptors which specify the degree of importance of the terms.
Journal ArticleDOI

On modeling information retrieval with probabilistic inference

TL;DR: This article examines and extends the logical models of information retrieval in the context of probability theory, and the fundamental notions of term weights and relevance are given probabilistic interpretations.
Journal ArticleDOI

A model of fuzzy linguistic IRS based on multi-granular linguistic information

TL;DR: An IRS based on fuzzy multi- granular linguistic information and a method to process the multi-granular linguisticInformation are proposed and the system accepts Boolean queries whose terms can be simultaneously weighted by means of ordinal linguistic values according to three semantics.
Journal ArticleDOI

Fuzzy sets and generalized Boolean retrieval systems

TL;DR: The generalized Boolean query model must be reconciled with the vector space approach, suggested new lattice structures for weighted retrieval, and probabilistic retrieval models, and proper retrieval evaluation mechanisms reflecting the fuzzy nature of retrieval are needed.
References
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Journal ArticleDOI

Fuzzy requests: An approach to weighted boolean searches

TL;DR: The problem of how to permit a patron to represent the relative importance of various index terms in a Boolean request while retaining the desirable properties of a Boolean system is concerned.
Journal ArticleDOI

A mathematical model of a weighted boolean retrieval system

TL;DR: Criteria are given for the functions used to evaluate the relevance of the records to a specific query, including self-consistency, as a generalization of a Boolean retrieval system.
Journal ArticleDOI

Fuzzy set theoretical approach to document retrieval

TL;DR: A new method of document retrieval based on the fundamental operations of the fuzzy set theory is presented, starting by introducing basic notions, then the syntax and semantics of the proposed language for document retrieval will be given and an algorithm allocating documents to particular queries will be described and its properties discussed.
Journal ArticleDOI

A fuzzy model of document retrieval systems

TL;DR: To deal with the organization problems of data in this conceptual model, the conventional concept of a list is extended to a fuzzy list and the notion of an inverted file structure can be extended to the fuzzy data in the retrieval model.
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