SHOPPER: A probabilistic model of consumer choice with substitutes and complements

ANNALS OF APPLIED STATISTICS, pp. 1-27, 2020.

Cited by: 0|Bibtex|Views76|DOI:https://doi.org/10.1214/19-AOAS1265
Other Links: academic.microsoft.com|arxiv.org

Abstract:

We develop SHOPPER, a sequential probabilistic model of shopping data. 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 ...More

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