DocumentCode :
3255651
Title :
NEWER: A neuro fuzzy Web recommendation system
Author :
Castellano, Giovanna ; Fanelli, Anna Maria ; Torsello, Maria Alessandra
Author_Institution :
Dept. of Inf., Univ. of Bari "A. Moro", Bari
fYear :
2008
fDate :
4-6 Aug. 2008
Firstpage :
162
Lastpage :
167
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 of users 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 results show the effectiveness of NEWER.
Keywords :
Internet; data mining; fuzzy neural nets; information filters; NEWER system; fuzzy rules; knowledge discovery; neuro-fuzzy Web recommendation system; online recommendation module; user categories; Data mining; Fuzzy neural networks; Fuzzy reasoning; Fuzzy sets; Fuzzy systems; Informatics; Laboratories; Matrix converters; Navigation; Neural networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Applications of Digital Information and Web Technologies, 2008. ICADIWT 2008. First International Conference on the
Conference_Location :
Ostrava
Print_ISBN :
978-1-4244-2623-2
Electronic_ISBN :
978-1-4244-2624-9
Type :
conf
DOI :
10.1109/ICADIWT.2008.4664338
Filename :
4664338
Link To Document :
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