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Data acquisition and cost-effective predictive modeling: targeting offers for electronic commerce
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Authors:
Foster Provost
New York University, New York, NY
Prem Melville
IBM T. J. Watson Research Center, Yorktown Heights, NY
Maytal Saar-Tsechansky
University of Texas at Austin, White Plains, TX
Published in:
· Proceeding
ICEC '07
Proceedings of the ninth international conference on Electronic commerce
Pages 389-398
ACM
New York, NY
, USA
©2007
table of contents
ISBN: 978-1-59593-700-1
doi>
10.1145/1282100.1282172
2007 Article
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· Citation Count: 6
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Tags:
active feature-value acquisition
active information acquisition
active learning
algorithms
design
electronic commerce
experimental design
supervised learning
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