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mpME!: music recommendation and exploration
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Source International Conference on Intelligent User Interfaces archive
Proceedings of the 7th international conference on Intelligent user interfaces table of contents
San Francisco, California, USA
DEMONSTRATION SESSION: Demonstration Descriptions table of contents
Pages: 235 - 235  
Year of Publication: 2002
ISBN:1-58113-459-2
Authors
Jared Dunne  Northwestern University, Evanston, IL
Louis Lapat  Northwestern University, Evanston, IL
Marc Flury  Northwestern University, Evanston, IL
Mustafa Shabib  Northwestern University, Evanston, IL
Tom Warner  Northwestern University, Evanston, IL
Kris Hammond  Northwestern University, Evanston, IL
Lawrence Birnbaum  Northwestern University, Evanston, IL
Sponsors
SIGART: ACM Special Interest Group on Artificial Intelligence
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 4,   Downloads (12 Months): 24,   Citation Count: 2
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ABSTRACT

mpME! introduces users to new music and interweaves old music the listener has heard of before and enjoys. mpME! exposes listeners to new music by using existing music information on the Internet such as musical artist directories. mpME! also provides complementary information about the artist to educate the user throughout the listening experience. MpME! uses a feature intersection algorithm to make recommendations for artists using features of artists found on the web.


REFERENCES

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Collaborative Colleagues:
Jared Dunne: colleagues
Louis Lapat: colleagues
Marc Flury: colleagues
Mustafa Shabib: colleagues
Tom Warner: colleagues
Kris Hammond: colleagues
Lawrence Birnbaum: colleagues