In this paper we present NEWER, a neuro-fuzzy Web recommendation system that dynamically suggests interesting pages to the current user. NEWER employs a neuro-fuzzy approach in order to determine categories ofusers sharing similar interests and to extract a recommendation model in the form of fuzzy rules expressing associations between user categories and relevances of pages. The derived model is used by an online recommendation module to dynamically suggest interesting links. Comparative accuracy resultsshow the effectiveness of NEWER.

NEWER: A Neuro-fuzzy Web Recommendation system.

CASTELLANO, GIOVANNA;FANELLI, Anna Maria;
2008-01-01

Abstract

In this paper we present NEWER, a neuro-fuzzy Web recommendation system that dynamically suggests interesting pages to the current user. NEWER employs a neuro-fuzzy approach in order to determine categories ofusers sharing similar interests and to extract a recommendation model in the form of fuzzy rules expressing associations between user categories and relevances of pages. The derived model is used by an online recommendation module to dynamically suggest interesting links. Comparative accuracy resultsshow the effectiveness of NEWER.
2008
978-1-4244-2624-9
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11586/107206
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