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Immunizing online reputation reporting systems against unfair ratings and discriminatory behavior
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Source Electronic Commerce archive
Proceedings of the 2nd ACM conference on Electronic commerce table of contents
Minneapolis, Minnesota, United States
Pages: 150 - 157  
Year of Publication: 2000
ISBN:1-58113-272-7
Author
Chrysanthos Dellarocas  Sloan School of Management, Massachusetts Institute of Technology, Room E53-315, Cambridge, MA
Sponsor
SIGEcom: ACM Special Interest Group on Electronic Commerce
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 30,   Downloads (12 Months): 166,   Citation Count: 49
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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.

 
1
Bresee, J.S., Heckerman, D., and Kadie, C. (1998) Empirical Analysis of Predictive Algorithms for Collaborative Filtering. In Proceedings of the 14 th Conference on Uncertainty in Artificial Intelligence (UAI-98), pp. 43-52, San Francisco, July 24-26,
 
2
Friedman, E.J. and Resnick, P. (1999) The Social Cost of Cheap Pseudonyms. Working paper 5 . An earlier version was presented at the Telecommunications Policy Research Conference, Washington, DC, October 1998.
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4
Kollock, P. (1999) The Production of Trust in Online Markets. In Advances in Group Processes (Vol. 16), eds. E.J. Lawler, M. Macy, S. Thyne, and H.A. Walker, Greenwich, CT: JAI Press.
 
5
Macnaughton-Smith, P., Williams, W.T., Dale, M.B., and Mockett, L.G. (1964), Dissimilarity analysis: A New Technique of Hierarchical Sub-division. Nature (202), pp. 1034-35.
6
 
7
Shapiro, C. (1982) Consumer Information, Product Quality, and Seller Reputation. Bell Journal of Economics 13 (1), pp 20-35, Spring 1982.
 
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CITED BY  51

Collaborative Colleagues:
Chrysanthos Dellarocas: colleagues