EXTRACTING PRECISE ACTIVITIES OF USERS FROM HTTP LOGS

Kiyotaka Takasuka, Kazutaka Maruyama, Minoru Terada, Yoshikatsu Tada

Abstract

Browsing histories are often used to build user profiles for browsing supports and personalizations. But, the browsing history also contains HTTP requests generated concomitantly with user activity(concomitant request), which must be removed in order to build correct user profiles. Current filtering methods are based on rather simple characteristics of requests such as the extension of the file name or reported content types. We invent a more efficient filtering method based on other characteristics such as the intervals of requests and the referer relations of requests. In this paper we analyze these characteristics in real web transactions and evaluate their usefulness on filtering.

References

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Paper Citation


in Harvard Style

Takasuka K., Maruyama K., Terada M. and Tada Y. (2009). EXTRACTING PRECISE ACTIVITIES OF USERS FROM HTTP LOGS . In Proceedings of the Fifth International Conference on Web Information Systems and Technologies - Volume 1: WEBIST, ISBN 978-989-8111-81-4, pages 341-346. DOI: 10.5220/0001840403410346


in Bibtex Style

@conference{webist09,
author={Kiyotaka Takasuka and Kazutaka Maruyama and Minoru Terada and Yoshikatsu Tada},
title={EXTRACTING PRECISE ACTIVITIES OF USERS FROM HTTP LOGS},
booktitle={Proceedings of the Fifth International Conference on Web Information Systems and Technologies - Volume 1: WEBIST,},
year={2009},
pages={341-346},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001840403410346},
isbn={978-989-8111-81-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Fifth International Conference on Web Information Systems and Technologies - Volume 1: WEBIST,
TI - EXTRACTING PRECISE ACTIVITIES OF USERS FROM HTTP LOGS
SN - 978-989-8111-81-4
AU - Takasuka K.
AU - Maruyama K.
AU - Terada M.
AU - Tada Y.
PY - 2009
SP - 341
EP - 346
DO - 10.5220/0001840403410346