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Personalized trading recommendation system
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Source International Conference on Intelligent User Interfaces archive
Proceedings of the 8th international conference on Intelligent user interfaces table of contents
Miami, Florida, USA
DEMONSTRATION SESSION: Accepted Demo Papers table of contents
Pages: 332 - 332  
Year of Publication: 2003
ISBN:1-58113-586-6
Authors
Jungsoon Yoo  Middle Tennessee State University, Murfreesboro, TN
Melinda Gervasio  Institute for the Study of Learning and Expertise, Palo Alto, CA
Pat Langley  Institute for the Study of Learning and Expertise, Palo Alto, CA
Sponsors
ACM: Association for Computing Machinery
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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ABSTRACT

The Stock Tracker is a personalized recommendation system for trading stocks. The system tailors its buy, sell, and hold recommendations to individual users through automatically acquired content-based models of user preferences. It relies on data gathered unobtrusively during the natural course of interacting with a user.


Collaborative Colleagues:
Jungsoon Yoo: colleagues
Melinda Gervasio: colleagues
Pat Langley: colleagues