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Peer-to-peer based recommendations for mobile commerce
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Source International Workshop on Mobile Commerce archive
Proceedings of the 1st international workshop on Mobile commerce table of contents
Rome, Italy
Pages: 26 - 29  
Year of Publication: 2001
ISBN:1-58113-376-6
Author
Amund Tveit  Department of Computer and Information Science, Norwegian University of Science and Technology, N-7491 Trondheim, Norway
Sponsor
SIGMOBILE: ACM Special Interest Group on Mobility of Systems, Users, Data and Computing
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 18,   Downloads (12 Months): 113,   Citation Count: 12
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ABSTRACT

With the increasing number of mobile commerce facilities, there are challenges in providing customers useful recommendations about interesting products and services.

In this paper a Peer-to-Peer (P2P) based collaborative filtering architecture for the support of product and service recommendations for mobile customers is considered. Mobile customers are represented by software assistant agents that act like peers in the processing of recommendations.


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.

 
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Adar E., and Huberman B. A. Free Riding on Gnutella. First Monday, 5(10), October 2000.
 
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Austaller G., Harti A., Kappel G., Lechleitner C., Muhlhauser M., Reich S., and Rudisch R. Gulliver Beans: Generating Device Optimized and Individualized Content for WAP Applications. In Proceedings of the 9th International World Wide Web Conference, 2000.
 
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Matskin M., and Tveit A. Mobile Commerce Agents WAP-based Services. Journal of Database Management - Special Issue on Mobile Commerce, pages 27-35, July-September 2001.
 
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CITED BY  12