PublisherUniversitat Politècnica de Catalunya. Secció de Matemàtiques i Informàtica
Rights accessOpen Access
Although the fuzzy retrieval model constitutes a powerful extension of the
boolean one, being able to deal with the imprecision and subjectivity existing
in the Information Retrieval process, users are not usually able to express
their query requirements in the form of an extended boolean query including
weights. To solve this problem, different tools to assist the user in the query
formulation have been proposed.
In this paper, the genetic algorithm-programming technique is considered to
build an algorithm of this kind that will be able to automatically learn
weighted queries --modeling the user's needs-- for a fuzzy information
retrieval system by applying an off-line adaptive process starting from a set
of relevant documents.
All rights reserved. This work is protected by the corresponding intellectual and industrial property rights. Without prejudice to any existing legal exemptions, reproduction, distribution, public communication or transformation of this work are prohibited without permission of the copyright holder. If you wish to make any use of the work not provided for in the law, please contact: firstname.lastname@example.org