Capturing window attributes for extending web browsing history records

Motoki Miura, Susumu Kunifuji, Shogo Sato, Jiro Tanaka

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We propose a method to enhance web browsing history records by considering browsing window attributes. The browsing window attributes means properties of web browser window such as size, location, z-order, activated status, etc. We often open multiple web documents for each window and browse the contents through handling these windows at the same time. Since a series of the window attributes describe the user's browsing activities, we exploit the attributes to enrich the browsing records to help the user find previously visited web pages.

Original languageEnglish
Title of host publicationKnowledge-Based Intelligent Information and Engineering Systems - 9th International Conference, KES 2005, Proceedings
Pages418-424
Number of pages7
Volume3681 LNAI
Publication statusPublished - 2005
Externally publishedYes
Event9th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2005 - Melbourne
Duration: 2005 Sep 142005 Sep 16

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3681 LNAI
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other9th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2005
CityMelbourne
Period05/9/1405/9/16

Fingerprint

Web Browser
Web browsers
Browsing
Websites
History
Attribute
Series

ASJC Scopus subject areas

  • Computer Science(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Theoretical Computer Science

Cite this

Miura, M., Kunifuji, S., Sato, S., & Tanaka, J. (2005). Capturing window attributes for extending web browsing history records. In Knowledge-Based Intelligent Information and Engineering Systems - 9th International Conference, KES 2005, Proceedings (Vol. 3681 LNAI, pp. 418-424). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3681 LNAI).

Capturing window attributes for extending web browsing history records. / Miura, Motoki; Kunifuji, Susumu; Sato, Shogo; Tanaka, Jiro.

Knowledge-Based Intelligent Information and Engineering Systems - 9th International Conference, KES 2005, Proceedings. Vol. 3681 LNAI 2005. p. 418-424 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3681 LNAI).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Miura, M, Kunifuji, S, Sato, S & Tanaka, J 2005, Capturing window attributes for extending web browsing history records. in Knowledge-Based Intelligent Information and Engineering Systems - 9th International Conference, KES 2005, Proceedings. vol. 3681 LNAI, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3681 LNAI, pp. 418-424, 9th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2005, Melbourne, 05/9/14.
Miura M, Kunifuji S, Sato S, Tanaka J. Capturing window attributes for extending web browsing history records. In Knowledge-Based Intelligent Information and Engineering Systems - 9th International Conference, KES 2005, Proceedings. Vol. 3681 LNAI. 2005. p. 418-424. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
Miura, Motoki ; Kunifuji, Susumu ; Sato, Shogo ; Tanaka, Jiro. / Capturing window attributes for extending web browsing history records. Knowledge-Based Intelligent Information and Engineering Systems - 9th International Conference, KES 2005, Proceedings. Vol. 3681 LNAI 2005. pp. 418-424 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
@inproceedings{30ea0a30d5734e6699fa7f167f1bfe6b,
title = "Capturing window attributes for extending web browsing history records",
abstract = "We propose a method to enhance web browsing history records by considering browsing window attributes. The browsing window attributes means properties of web browser window such as size, location, z-order, activated status, etc. We often open multiple web documents for each window and browse the contents through handling these windows at the same time. Since a series of the window attributes describe the user's browsing activities, we exploit the attributes to enrich the browsing records to help the user find previously visited web pages.",
author = "Motoki Miura and Susumu Kunifuji and Shogo Sato and Jiro Tanaka",
year = "2005",
language = "English",
isbn = "3540288945",
volume = "3681 LNAI",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "418--424",
booktitle = "Knowledge-Based Intelligent Information and Engineering Systems - 9th International Conference, KES 2005, Proceedings",

}

TY - GEN

T1 - Capturing window attributes for extending web browsing history records

AU - Miura, Motoki

AU - Kunifuji, Susumu

AU - Sato, Shogo

AU - Tanaka, Jiro

PY - 2005

Y1 - 2005

N2 - We propose a method to enhance web browsing history records by considering browsing window attributes. The browsing window attributes means properties of web browser window such as size, location, z-order, activated status, etc. We often open multiple web documents for each window and browse the contents through handling these windows at the same time. Since a series of the window attributes describe the user's browsing activities, we exploit the attributes to enrich the browsing records to help the user find previously visited web pages.

AB - We propose a method to enhance web browsing history records by considering browsing window attributes. The browsing window attributes means properties of web browser window such as size, location, z-order, activated status, etc. We often open multiple web documents for each window and browse the contents through handling these windows at the same time. Since a series of the window attributes describe the user's browsing activities, we exploit the attributes to enrich the browsing records to help the user find previously visited web pages.

UR - http://www.scopus.com/inward/record.url?scp=33745302402&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=33745302402&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:33745302402

SN - 3540288945

SN - 9783540288947

VL - 3681 LNAI

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 418

EP - 424

BT - Knowledge-Based Intelligent Information and Engineering Systems - 9th International Conference, KES 2005, Proceedings

ER -