A user profile-based approach for personal information access

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A user profile-based approach for personal information access: shaping your information portfolio

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International World Wide Web Conference archive
Proceedings of the 15th international conference on World Wide Web table of contents

Edinburgh, Scotland

POSTER SESSION: Browsers and UI, web engineering, hypermedia & multimedia, security, and accessibility table of contents

Pages: 921 - 922

Year of Publication: 2006

ISBN:1-59593-323-9

Authors

Lo Ka Kan	The Chinese Univ. of HK, Shatin, Hong Kong
Xiang Peng	The Chinese Univ. of HK, Shatin, Hong Kong
Irwin King	The Chinese Univ. of HK, Shatin, Hong Kong

Sponsors

SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web
ACM: Association for Computing Machinery

Publisher

ACM New York, NY, USA

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ABSTRACT

In the spread of internet, internet-based information service business has started to become profitable. One of the key technologies is personalization. Successful internet information services must realize personalized information delivery, by which the users can automatically receive highly tuned information according to their personal needs and preferences. In order to realize such personalized information services, we have developed an automatic user preference capture and an automatic information clipping function based on a Personalized Information Access technique. In this paper, those techniques will be demonstrated by showing a deployed personalized webpage service application.

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

	1	K Andrew Edmonds, James Blustein, Don Turnbull. A Personal Information and Knowledge Infrastructure Integrator. Journal of Digital Information, vol. 5, 2004.
	2	Da Silveiva G., Borenstein D., Fogliatto F.S.. Mass customization: Literature review and research directions. International Journal of Production Economics, vol. 72, 2001.
	3	Carl Shapiro, Hal R. Varian. Information Rules. Boston: Harvard Business School Press, November 1998.