A Bayesian bandit approach to personalized online coupon recommendations
Thesis: S.M. in Management Research, Massachusetts Institute of Technology, Sloan School of Management, 2016.
Main Author: | Song, Xiang, Ph. D. Massachusetts Institute of Technology |
---|---|
Other Authors: | John D. C. Little. |
Format: | Thesis |
Language: | eng |
Published: |
Massachusetts Institute of Technology
2016
|
Subjects: | |
Online Access: | http://hdl.handle.net/1721.1/103204 |
Similar Items
-
Determining manufacturers' couponing strategies
by: Hee, Judith Ann.
Published: (2005) -
Market research of commercial recommendation engines for online and offline retail
by: Duan, Yaoyao Clare
Published: (2014) -
Business plan of an online social commerce platform for the middle-aged and the elderly in China
by: Xie, Yanghui, S.M. Massachusetts Institute of Technology
Published: (2015) -
Platform competition in the online video industry : a comparison between the United States and Chinese markets
by: Liu, Xin, S.M. Massachusetts Institute of Technology
Published: (2013) -
Personalized online promotions : long-term Impacts on customer behavior
by: Barary Savadkoohi, Farnaz
Published: (2012)