Using genetic feature selection for optimizing user profiles

• Autores: Henrik Legind Larsen , Nicolás Marín Ruiz , María José Martín Bautista , María Amparo Vila Miranda
• Localización: Mathware & soft computing: The Magazine of the European Society for Fuzzy Logic and Technology, ISSN-e 1134-5632, Vol. 7, Nº. 2-3, 2000, págs. 275-286
• Idioma: inglés
• Títulos paralelos:
  • Usando selección de rasgos genéticos para optimizar perfiles de usuario
• Enlaces
  • Texto completo (pdf)
• Resumen

  • 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.