Revistes Catalanes amb Accés Obert (RACO)

Using genetic feature selection for optimizing user profiles

Henrik Legind Larsen, Nicolás Marín Ruíz, Maria José Martín Bautista, María Amparo Vila Miranda


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.

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