Title
Discovering heterogeneous consumer groups from sales transaction data.
Abstract
•Hidden consumer types are discovered through a sequence of simple optimizations.•Estimation requires only censored sales data and product availability.•Heterogeneous consumer groups with significant presence are effectively detected.
Year
DOI
Venue
2020
10.1016/j.ejor.2019.05.043
European Journal of Operational Research
Keywords
Field
DocType
Revenue management,Demand untruncation,Demand segmentation,Latent class multinomial logit model,EM method
Econometrics,Demand estimation,Mathematical optimization,Data set,Consumer choice,Purchasing,Transaction data,Mathematics
Journal
Volume
Issue
ISSN
280
1
0377-2217
Citations 
PageRank 
References 
0
0.34
0
Authors
2
Name
Order
Citations
PageRank
Haengju Lee100.34
Yongsoon Eun27723.26