The credibility of the posted information in a recommendation system based on a map

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The credibility of the posted information in a recommendation system based on a map

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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: 985 - 986

Year of Publication: 2006

ISBN:1-59593-323-9

Authors

Koji Yamamoto	Tokyo Institute of Technology, Yokohama, Japan
Daisuke Katagami	Tokyo Institute of Technology, Yokohama, Japan
Katsumi Nitta	Tokyo Institute of Technology, Yokohama, Japan
Akira Aiba	Shibaura Institute of Technology, Saitama, Japan
Hitoshi Kuwata	Shibaura Institute of Technology, Saitama, Japan

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 references index terms collaborative colleagues

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ABSTRACT

We propose a method for estimating the credibility of the posted information from users. The system displays these information on the map. Since posted information can include subjective information from various perspectives, we can't trust all of the postings as they are. We propose and integrate factors of the user's geographic posting tendency and votes by other users.

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	Michael J. Pazzani, A Framework for Collaborative, Content-Based and Demographic Filtering, Artificial Intelligence Review, v.13 n.5-6, p.393-408, Dec. 1999
	2	M. G. Vozalis and K. G. Margaritis: Collaborative Filtering enhanced by Demographic Correlation", AIAI Symposium on Professional Practice in AI, of the 18th World Computer Congress, 2004.
	3	Giorgos Zacharia , Alexandros Moukas , Pattie Maes, Collaborative Reputation Mechanisms in Electronic Marketplaces, Proceedings of the Thirty-second Annual Hawaii International Conference on System Sciences-Volume 8, p.8026, January 05-08, 1999