Fuzzy Collaborative Filtering for Web Page Prediction

DOI

10.2991/jcis.2006.233How to use a DOI?

Keywords

Fuzzy Logic, Collaborative Filtering, Web Navigation

Abstract

Web page prediction is a popular personalized service on the Web and has attracted much research attention. One of the most successful and widely used approaches is collaborative filtering. Traditional collaborative filtering requires explicit user participation for providing his/her interest to the pages. However, they suffer from some limitations such as additional user effort, user behavior alteration and data sparsity. A possible alternative is to use an implicit indicator which measures the time a user spends on a page. In this paper, we propose a new collaborative filtering algorithm based on the fuzzy set theory, which is designed to better address the sharp boundary problem of discretizing the viewing time. The experimental results show that the proposed methods can achieve a better performance than the Traditional CF without time information.

Copyright

© 2006, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Chein-Shung Hwang
AU  - Yu-Pin Chen
PY  - 2006/10
DA  - 2006/10
TI  - Fuzzy Collaborative Filtering for Web Page Prediction
BT  - Proceedings of the 9th Joint International Conference on Information Sciences (JCIS-06)
PB  - Atlantis Press
SP  - 356
EP  - 359
SN  - 1951-6851
UR  - https://doi.org/10.2991/jcis.2006.233
DO  - 10.2991/jcis.2006.233
ID  - Hwang2006/10
ER  -