A Neuro-Fuzzy Strategy for Web Personalization
Abstract
In this paper, we propose the use of a neuro-fuzzy strategy to develop a Web personalization framework for the dynamic suggestion of URLs retained interesting for the currently connected users. In particular, a hybrid strategy exploiting the combination of the fuzzy logic with the neural paradigm is proposed in order to discover useful knowledge from session data identified from the analysis of log files and represent it in a set of fuzzy rules expressed in an interpretable form.
Cite
Text
Castellano et al. "A Neuro-Fuzzy Strategy for Web Personalization." AAAI Conference on Artificial Intelligence, 2008.Markdown
[Castellano et al. "A Neuro-Fuzzy Strategy for Web Personalization." AAAI Conference on Artificial Intelligence, 2008.](https://mlanthology.org/aaai/2008/castellano2008aaai-neuro/)BibTeX
@inproceedings{castellano2008aaai-neuro,
title = {{A Neuro-Fuzzy Strategy for Web Personalization}},
author = {Castellano, Giovanna and Fanelli, Anna Maria and Plantamura, Paola and Torsello, Maria Alessandra},
booktitle = {AAAI Conference on Artificial Intelligence},
year = {2008},
pages = {1784-1785},
url = {https://mlanthology.org/aaai/2008/castellano2008aaai-neuro/}
}