Model-Based Purchase Predictions for Large Assortments

By Bruno Jacobs, Bas Donkers, Dennis Fok. 2016

125 citations recorded by the source corpus.

Subfields: Management Science and Operations Research, Marketing

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Management Science and Operations Research

1. Susan Athey
2. Francisco J. R. Ruiz
3. Rob Donnelly
4. David M. Blei
5. Guido W. Imbens
6. David McAdams
7. Stefan Wager
8. Philip J. Reny

In Marketing

1. Susan Athey
2. Francisco J. R. Ruiz
3. David M. Blei
4. Rob Donnelly
5. Guido W. Imbens
6. Arnaud Costinot
7. Angelo Mele

Citations in the corpus

• Counterfactual inference for consumer choice across many product categories (2019, methodology): “Jacobs et al. (2016) extend a widely-used approach known as latent Dirichlet allocation (LDA) towards the task of predicting consumer purchases in online markets with large product assortments.”
• Understanding Large-Scale Dynamic Purchase Behavior (2020, unknown): “After that, we introduce the formal statistical model and highlight the essential improvements compared to the LDA-X model introduced in Jacobs et al. (2016). Finally, we discuss alternative approaches to modeling dynamic purchase behavior.”
• Machine learning and AI in marketing – Connecting computing power to human insights (2020, unknown): “Marketing research has used this method, both to process textual data as it was originally intended to (Liu & Toubia, 2018; Tirunillai & Tellis, 2014), and to analyze other data where similar semantic structures exist (Jacobs, Donkers, & Fok, 2016; Trusov et al., 2016).”