Preference Learning and Demand Forecast
Understanding consumer preferences is important for new product management, but isfamously challenging in the absence of actual sales data. Stated-preferences data are rel-atively cheap but less reliable, whereas revealed-preferences data based on actual choicesare reliable but expensive to obtain...
Main Author: | Zhang, Juanjuan |
---|---|
Other Authors: | Sloan School of Management |
Format: | Article |
Language: | English |
Published: |
Institute for Operations Research and the Management Sciences (INFORMS)
2021
|
Online Access: | https://hdl.handle.net/1721.1/130372 |
Similar Items
-
Machine learning for real-time demand forecasting
by: Xu, Runmin, S.M. Massachusetts Institute of Technology
Published: (2015) -
Demand forecast with information centralization based on machine learning
by: Xie, Jiyun
Published: (2024) -
Forecasting Seasonal Footwear Demand Using Machine Learning
by: Kharfan, Majd, et al.
Published: (2018) -
Intermittent demand forecasting
by: Mishra, Prerna.
Published: (2013) -
How Demanding Is the Revealed Preference Approach to Demand?
by: Beatty, T, et al.
Published: (2011)