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Adaptive radio: achieving consensus using negative preferences
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Source Conference on Supporting Group Work archive
Proceedings of the 2005 international ACM SIGGROUP conference on Supporting group work table of contents
Sanibel Island, Florida, USA
SESSION: Decision-making and communication table of contents
Pages: 120 - 123  
Year of Publication: 2005
ISBN:1-59593-223-2
Authors
Dennis L. Chao  Fred Hutchinson Cancer Research Center, Seattle, WA
Justin Balthrop  University of New Mexico, Albuquerque, NM
Stephanie Forrest  Santa Fe Institute, Santa Fe, NM
Sponsor
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 9,   Downloads (12 Months): 38,   Citation Count: 2
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ABSTRACT

We introduce the use of negative preferences to produce solutions that are acceptable to a group of users. This technique takes advantage of the fact that discovering what a user does not like can be easier than discovering what the user does like. To illustrate the approach, we implemented Adaptive Radio, a system that selects music to play in a shared environment. Rather than attempting to play the songs that users want to hear, the system avoids playing songs that they do not want to hear. Negative preferences could potentially be applied to information filtering, intelligent environments, and collaborative design.


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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O'Connor, M., Cosley, D., Konstan, J. A., and Riedl, J. PolyLens: A recommender system for groups of users. In Proceedings of the Seventh European Conference on Computer Supported Cooperative Work. Kluwer Academic, New York, 2001, 199--218.


Collaborative Colleagues:
Dennis L. Chao: colleagues
Justin Balthrop: colleagues
Stephanie Forrest: colleagues