Using genetic feature selection for optimizing user profiles.

Henrik Legind Larsen; Nicolás Marín; María José Martín-Bautista; M. Amparo Vila

Mathware and Soft Computing (2000)

  • Volume: 7, Issue: 2-3, page 275-286
  • ISSN: 1134-5632

Abstract

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Most of the techniques used in text classification are determined by the occurrences of the words (terms) appearing in the documents, combined with the user feedback over the documents retrieved. However, in our model, the most relevant terms will be selected from a previous fuzzy classification given by the genetic algorithm guided by the user feedback, but using techniques from Machine Learning. A feature selection process is carried out through a Genetic Algorithm in order to find the most discriminatory terms to be stored as the user profile.

How to cite

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Larsen, Henrik Legind, et al. "Using genetic feature selection for optimizing user profiles.." Mathware and Soft Computing 7.2-3 (2000): 275-286. <http://eudml.org/doc/39205>.

@article{Larsen2000,
abstract = {Most of the techniques used in text classification are determined by the occurrences of the words (terms) appearing in the documents, combined with the user feedback over the documents retrieved. However, in our model, the most relevant terms will be selected from a previous fuzzy classification given by the genetic algorithm guided by the user feedback, but using techniques from Machine Learning. A feature selection process is carried out through a Genetic Algorithm in order to find the most discriminatory terms to be stored as the user profile.},
author = {Larsen, Henrik Legind, Marín, Nicolás, Martín-Bautista, María José, Vila, M. Amparo},
journal = {Mathware and Soft Computing},
keywords = {Selección genética; Algoritmos genéticos; World Wide Web; Recuperación de información; Conjuntos difusos},
language = {eng},
number = {2-3},
pages = {275-286},
title = {Using genetic feature selection for optimizing user profiles.},
url = {http://eudml.org/doc/39205},
volume = {7},
year = {2000},
}

TY - JOUR
AU - Larsen, Henrik Legind
AU - Marín, Nicolás
AU - Martín-Bautista, María José
AU - Vila, M. Amparo
TI - Using genetic feature selection for optimizing user profiles.
JO - Mathware and Soft Computing
PY - 2000
VL - 7
IS - 2-3
SP - 275
EP - 286
AB - Most of the techniques used in text classification are determined by the occurrences of the words (terms) appearing in the documents, combined with the user feedback over the documents retrieved. However, in our model, the most relevant terms will be selected from a previous fuzzy classification given by the genetic algorithm guided by the user feedback, but using techniques from Machine Learning. A feature selection process is carried out through a Genetic Algorithm in order to find the most discriminatory terms to be stored as the user profile.
LA - eng
KW - Selección genética; Algoritmos genéticos; World Wide Web; Recuperación de información; Conjuntos difusos
UR - http://eudml.org/doc/39205
ER -

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