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E-commerce recommenders: powerful tools for E-business
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Crossroads archive
Volume 10 ,  Issue 2  (Winter 2003) table of contents
Pages: 6 - 6  
Year of Publication: 2003
ISSN:1528-4972
Authors
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 6,   Downloads (12 Months): 57,   Citation Count: 0
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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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2. Engel, J., Blackwell, R., and Miniard, P. Consumer Behavior-6th Ed. The Dryden Press, 1990.
 
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3. Ferber, J. Multi-Agent Systems. Addison-Wesley, 1999.
 
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4. Hayes, C., Massa, P., Avesani, P., and Cunningham, P., An on-line evaluation framework for recommender systems. In Workshop on Recommendation and Personalization Systems, Springer Verlag, 2002.
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9. Ontology.org: http://www.ontology.org/
 
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10. Pazzani, M., Muramatsu, J., and Billsus, D. Syskill & Webert: Identifying interesting web sites. In Proceedings of the Thirteenth National Conference on Artificial Intelligence, pp.54-46, 1996.
 
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11. Renault, V., and Hutzler, G. Data Gardens: Agent Societies for Visualization of Complex System. IC-AI'2000, H. R. Arabnia Eds, Las Vegas (Nevada, USA), CSREA Press, pp. 167-173, 2000.
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17. Yen, B. and Kong R. Personalization of information access for electronic catalogs on the web. Electronic Commerce Research and Applications 1, pp.20-40, 2002.

Collaborative Colleagues:
Ana Gil: colleagues
Francisco García: colleagues