Article

System for reminding a user of information obtainedthrough a web browsing experience

Authors:

Tetsushi Morita,

Tetsuo Hidaka,

Akimichi Tanaka,

Yasuhisa KatoAuthors Info & Claims

WWW '07: Proceedings of the 16th international conference on World Wide Web

Pages 1327 - 1328

https://doi.org/10.1145/1242572.1242833

Published: 08 May 2007 Publication History

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Abstract

We propose a system for reminding a user of information obtained through a web browsing experience. The system extracts keywords from the content of the web page currently being viewed and retrieves the context of past web browsing related tothe keywords. We define the context as a sequence of web browsing when many web pages related to the keyword were viewed intensively because we assume that a lot of information connected to the current content was obtained in the sequence.The information is not only what pages you viewed but also how you found those pages and what knowledge you acquired from them. Specifically, when you browse web pages, this system automatically displays a list of the contexts judged to be important in relation to the current web page. If you select the context, details of the context are shown graphically with marksindicating characteristic activities.

References

[1]

Paul Chirita, Rita Ghita Alexandru Gavriloaie, Stefania, Wolfgang Nejdl, Paiu Raluca: Activity Based Metadata for Semantic Desktop Search. 2nd European Semantic Web Conference (ESWC05) (2005).

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[2]

About Google Desktop, http://desktop.google.com/about.html

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[3]

A. Cockburn and B. McKenzie: What Do Web Users Do? An Empirical Analysis of Web Use. Int. J. Human-Computer Studies, 54(6), (2001) 903--922.

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[4]

T. Morita, T. Hidaka, T. Kura, K. Ooura, Y. Kato: Desktop search system based on the Action--Oriented algorism. Proc. APSITT2005 (6thAsia--Pacific Symposium on Information and Telecommunication Technologies), (2005) 204--207

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Takano KLi K(2011)An adaptive learning book system based on user's study interestProceedings of 2011 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing10.1109/PACRIM.2011.6033004(842-847)Online publication date: Aug-2011
https://doi.org/10.1109/PACRIM.2011.6033004
Li KTakano K(2011)Modelling User Behaviour on Page Content and Layout in Recommender SystemsLearning Structure and Schemas from Documents10.1007/978-3-642-22913-8_14(289-313)Online publication date: 2011
https://doi.org/10.1007/978-3-642-22913-8_14
Takano KLi K(2010)An Adaptive e-Learning Recommender Based on User's Web-Browsing BehaviorProceedings of the 2010 International Conference on P2P, Parallel, Grid, Cloud and Internet Computing10.1109/3PGCIC.2010.24(123-131)Online publication date: 4-Nov-2010
https://dl.acm.org/doi/10.1109/3PGCIC.2010.24
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Index Terms

System for reminding a user of information obtainedthrough a web browsing experience
1. Information systems
  1. Information retrieval
    1. Information retrieval query processing
    2. Retrieval models and ranking

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Information

Published In

WWW '07: Proceedings of the 16th international conference on World Wide Web

May 2007

1382 pages

ISBN:9781595936547

DOI:10.1145/1242572

General Chairs:
Carey Williamson
University of Calgary, Canada
,
Mary Ellen Zurko
IBM, USA
,
Program Chairs:
Peter Patel-Schneider
Bell Labs Research, USA
,
Prashant Shenoy
University of Massachusetts at Amherst, USA

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

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Published: 08 May 2007

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WWW'07

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WWW'07: 16th International World Wide Web Conference

May 8 - 12, 2007

Alberta, Banff, Canada

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Overall Acceptance Rate 1,899 of 8,196 submissions, 23%

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Takano KLi K(2011)An adaptive learning book system based on user's study interestProceedings of 2011 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing10.1109/PACRIM.2011.6033004(842-847)Online publication date: Aug-2011
https://doi.org/10.1109/PACRIM.2011.6033004
Li KTakano K(2011)Modelling User Behaviour on Page Content and Layout in Recommender SystemsLearning Structure and Schemas from Documents10.1007/978-3-642-22913-8_14(289-313)Online publication date: 2011
https://doi.org/10.1007/978-3-642-22913-8_14
Takano KLi K(2010)An Adaptive e-Learning Recommender Based on User's Web-Browsing BehaviorProceedings of the 2010 International Conference on P2P, Parallel, Grid, Cloud and Internet Computing10.1109/3PGCIC.2010.24(123-131)Online publication date: 4-Nov-2010
https://dl.acm.org/doi/10.1109/3PGCIC.2010.24
Takano KLi K(2010)Adaptive recommendation for preferred information and browsing action based on web-browsing behaviorProceedings of the 15th international conference on Database Systems for Advanced Applications - Volume Part II10.1007/978-3-642-12098-5_52(468-471)Online publication date: 1-Apr-2010
https://dl.acm.org/doi/10.1007/978-3-642-12098-5_52

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Web browsing today: the impact of changing contexts on user activity

Contextual web searches in Facebook using learning materials and discussion messages

Combating information overload in non-visual web access using context

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