WEB PAGE RECOMMENDATION BY URL-BASED COLLABORATIVE FILTERING

Kiyotaka Takasuka, Minoru Terada, Kazutaka Maruyama

2007

Abstract

Because the number of Web pages is very huge, and still increasing, many people have difficulty to reach pages they want. Although social bookmarking and search engines are helpful, users still have to find pages themselves. Our goal is to recommend Web pages which are supposed to be interesting for a user, without active effort by the user. We first analyzed the http traffic data in our university collected by a sniffer, and developed a recommendation system that works on URLs and their viewers (IP address). Our system has four features: (1) collaborative filtering, (2) implicit build of user profiles, (3) exclusion of popular Web pages (4) and use of the real activity in our university. We evaluated the effectiveness of our system by applying it to the real http transaction data and found that there were 18 successful recommended users out of 50 users.

Download


Paper Citation


in Harvard Style

Takasuka K., Terada M. and Maruyama K. (2007). WEB PAGE RECOMMENDATION BY URL-BASED COLLABORATIVE FILTERING . In Proceedings of the Third International Conference on Web Information Systems and Technologies - Volume 2: WEBIST, ISBN 978-972-8865-78-8, pages 447-450. DOI: 10.5220/0001285004470450

in Bibtex Style

@conference{webist07,
author={Kiyotaka Takasuka and Minoru Terada and Kazutaka Maruyama},
title={WEB PAGE RECOMMENDATION BY URL-BASED COLLABORATIVE FILTERING},
booktitle={Proceedings of the Third International Conference on Web Information Systems and Technologies - Volume 2: WEBIST,},
year={2007},
pages={447-450},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001285004470450},
isbn={978-972-8865-78-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Third International Conference on Web Information Systems and Technologies - Volume 2: WEBIST,
TI - WEB PAGE RECOMMENDATION BY URL-BASED COLLABORATIVE FILTERING
SN - 978-972-8865-78-8
AU - Takasuka K.
AU - Terada M.
AU - Maruyama K.
PY - 2007
SP - 447
EP - 450
DO - 10.5220/0001285004470450