Title	SHOPPER: A PROBABILISTIC MODEL OF CONSUMER CHOICE WITH SUBSTITUTES AND COMPLEMENTS
Creator	Athey, Susan
Publisher	Banff International Research Station for Mathematical Innovation and Discovery
Date Issued	2018-01-18T09:06
Description	We develop shopper, a sequential probabilistic model of market baskets. shopper uses interpretable components to model the forces that drive how a customer chooses products; in particular, we designed shopper to capture how items interact with other items.We develop an efficient posterior inference algorithm to estimate these forces from large-scale data, and we analyze a large dataset from a major chain grocery store. We are interested in answering counterfactual queries about changes in prices. We found that shopper provides accurate predictions even under price interventions, and that it helps identify complementary and substitutable pairs of products.
Extent	45 minutes
Subject	Mathematics; Statistics; Computer science; Data mining
Type	Moving Image
File Format	video/mp4
Language	eng
Notes	Author affiliation: Stanford
Series	BIRS Workshop Lecture Videos (Banff, Alta)
Date Available	2018-07-18
Provider	Vancouver : University of British Columbia Library
Rights	Attribution-NonCommercial-NoDerivatives 4.0 International
DOI	10.14288/1.0368961
URI	http://hdl.handle.net/2429/66517
Affiliation	Non UBC
Peer Review Status	Unreviewed
Scholarly Level	Faculty
Rights URI	http://creativecommons.org/licenses/by-nc-nd/4.0/
Aggregated Source Repository	DSpace

Open Collections

BIRS Workshop Lecture Videos