9th Joint International Conference on Information Sciences (JCIS-06)

Fuzzy Collaborative Filtering for Web Page Prediction

Authors
Chein-Shung Hwang 0, Yu-Pin Chen
Corresponding Author
Chein-Shung Hwang
0Dept. of Information Management, Chinese Culture University
Available Online undefined NaN.
DOI
https://doi.org/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.
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Proceedings
9th Joint International Conference on Information Sciences (JCIS-06)
Publication Date
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ISBN
978-90-78677-01-7
DOI
https://doi.org/10.2991/jcis.2006.233How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Chein-Shung Hwang
AU  - Yu-Pin Chen
PY  - NaN/NaN
DA  - NaN/NaN
TI  - Fuzzy Collaborative Filtering for Web Page Prediction
BT  - 9th Joint International Conference on Information Sciences (JCIS-06)
PB  - Atlantis Press
UR  - https://doi.org/10.2991/jcis.2006.233
DO  - https://doi.org/10.2991/jcis.2006.233
ID  - HwangNaN/NaN
ER  -