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
PublisherSpringer Verlag
Pages418-424
Number of pages7
ISBN (Print)3540288945, 9783540288947
DOIs
Publication statusPublished - 2005 Jan 1
Externally publishedYes
Event9th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2005 - Melbourne, Australia
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)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference9th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2005
CountryAustralia
CityMelbourne
Period05/9/1405/9/16

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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    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 (pp. 418-424). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3681 LNAI). Springer Verlag. https://doi.org/10.1007/11552413_60