CIS Department Talk - Tuesday November 1, 2005
The Department of Computer and Information Science & The Society of
Computer Science Present
|Speaker:  ||Dr. Bianca Zadrozny|
|Topic:||Wallet Estimation Models|
|Date:||Tuesday November 1, 2005, 3:30-4:30pm |
|Place:||John Mulcahy Hall, Rm 138 (Rose Hill Campus)|
The wallet of a customer is defined as the total amount this customer can
spend in a specific product category. This is a vital piece of information
for planning, marketing and sales efforts. We discuss the important problem
of customer wallet estimation, while emphasizing the use of predictive
modeling technologies to generate useful estimates, and minimizing reliance on
primary research. We suggest several customer wallet definitions and
corresponding evaluation approaches. Our main contribution is in presenting
several new predictive modeling approaches which allow us to estimate customer
wallets, despite the fact that they are typically unobserved. We present
empirical results on the success of these modeling approaches, using a dataset
of IBM customers.
Bianca Zadrozny joined the Data Analytics Research group at the IBM T. J.
Watson Research Center in September 2003, shortly after receiving her Ph.D. in
Computer Science from the University of California, San Diego. While a Ph.D.
student, Bianca was the recipient of an NSF Graduate Fellowship and an IBM
Ph.D. Fellowship. She also holds an M.S. degree from UCSD and a B.S. in
Computer Engineering from Pontificia Universidada Catolica, Rio de Janeiro,
Brazil. Her research interests are in machine learning and data mining,
particularly in the applications to problems in business analytics.
For more information or directions, contact:
Ms. Diane Roche (718) 817-4480; (firstname.lastname@example.org)