Machine learning and operation research based method for promotion optimization of products with no price elasticity history-Reference-Cited by-同舟云学术

Machine learning and operation research based method for promotion optimization of products with no price elasticity history

Author:

Greenstein-Messica Asnat,Rokach Lior

Funder

Ministry of Science and Technology, Israel

Publisher

Elsevier BV

Subject

Management of Technology and Innovation,Marketing,Computer Networks and Communications,Computer Science Applications

Reference35 articles.

1. Online models for content optimization;Agarwal,2009

2. Using confidence bounds for exploitation-exploration trade-offs;Auer;J. Mach. Learn. Res.,2002

3. Demand estimation with machine learning and model combination;Bajari,2015

5. Will this session end with a purchase? Inferring current purchase intent of anonymous visitors;Bogina;Electron. Commer. Res. Appl.,2019

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