Pii: S0306-4573(98)00049-1
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Crossover Improvement for the Genetic Algorithm in Information Retrieval
Genetic algorithms (GAs) search for good solutions to a problem by operations inspired from the natural selection of living beings. Among their many uses, we can count information retrieval (IR). In this field, the aim of the GA is to help an IR system to find, in a huge documents text collection, a good reply to a query expressed by the user. The analysis of phenomena seen during the implement...
متن کاملPii: S0306-4573(02)00049-3
Recommender systems evaluate and filter the great amount of information available on the Web to assist people in their search processes. A fuzzy evaluation method of Standard Generalized Markup Language documents based on computing with words is presented. Given a document type definition (DTD), we consider that its elements are not equally informative. This is indicated in the DTD by defining ...
متن کاملPii: S0306-4573(00)00053-4
The study of interactive information retrieval (IR) has been a small but constant part of the Text REtrieval Conferences (TREC 1±8) from the beginning. The main arena for such work has been the Interactive Track (TREC 3±8). This report presents a bibliography of those eorts together with a summary of the evolving experimental framework within which the studies took place. Published by Elsevier...
متن کاملNoetica: A Tool for Semantic Data Modelling
Noetica is a tool for structuring knowledge about concepts and the relationships between them. It diiers from typical information systems in that the knowledge it represents is abstract, highly connected, and includes meta-knowledge (knowledge about knowledge). Noetica represents knowledge using a strongly-typed semantic network. By providing a rich type system it is possible to represent conce...
متن کاملExperimentation as a way of life: Okapi at TREC
The Okapi system has been used in a series of experiments on the TREC collections, investigating probabilistic models, relevance feedback and query expansion, and interaction issues. The TREC-6 ad hoc task was used to test an application of a new relevance weighting formula, which takes account of documents judged nonrelevant. The application was to a form of blind feedback (using the top-ranke...
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تاریخ انتشار 1999