Ryan Dew

University of Pennsylvania - Marketing Department

Assistant Professor

700 Jon M. Huntsman Hall

3730 Walnut Street

Philadelphia, PA 19104-6340

United States

  • University of Pennsylvania - Marketing Department

SCHOLARLY PAPERS

5

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2,399

SSRN CITATIONS
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Top 47,914

in Total Papers Citations

14

CROSSREF CITATIONS

1

Scholarly Papers (5)

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1.

Letting Logos Speak: Leveraging Multiview Representation Learning for Data-Driven Branding and Logo Design

Columbia Business School Research Paper Forthcoming
Number of pages: 74 Posted: 28 Jun 2019 Last Revised: 08 Apr 2021
Ryan Dew, Asim Ansari and Olivier Toubia
University of Pennsylvania - Marketing Department, Columbia University - Columbia Business School, Marketing and Columbia University - Columbia Business School, Marketing
Downloads 1,131 (32,325)
Citation 2

Abstract:

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logos, branding, machine learning, multiview learning, deep generative modeling, image processing

2.

Bayesian Nonparametric Customer Base Analysis with Model-based Visualizations

Marketing Science (Forthcoming)
Number of pages: 39 Posted: 19 Nov 2015 Last Revised: 23 Jun 2017
Ryan Dew and Asim Ansari
University of Pennsylvania - Marketing Department and Columbia University - Columbia Business School, Marketing
Downloads 1,034 (36,637)
Citation 4

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Customer Base Analysis, Dynamics, Analytics, Dashboards, Gaussian Process Priors, Bayesian Nonparametrics, Visualization, Mobile Commerce

3.

A Gaussian Process Model of Cross-Category Dynamics in Brand Choice

Number of pages: 35 Posted: 23 Apr 2021 Last Revised: 25 Apr 2021
Ryan Dew and Yuhao Fan
University of Pennsylvania - Marketing Department and affiliation not provided to SSRN
Downloads 234 (217,616)

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Bayesian nonparametrics, Gaussian process, choice model, machine learning

4.

Detecting Routines: Implications for Ridesharing CRM

Forthcoming, Journal of Marketing Research, Columbia Business School Research Paper No. 3982612
Posted: 11 Feb 2022 Last Revised: 15 Sep 2023
Ryan Dew, Eva Ascarza, Oded Netzer and Nachum Sicherman
University of Pennsylvania - Marketing Department, Harvard Business School, Columbia University - Columbia Business School, Marketing and Columbia University

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routines, customer management, customer relationship management, Bayesian nonparametrics, Gaussian processes, machine learning, ride-sharing

5.

Modeling Dynamic Heterogeneity using Gaussian Processes

Forthcoming, Journal of Marketing Research
Posted: 13 Feb 2017 Last Revised: 16 Aug 2019
Ryan Dew, Asim Ansari and Yang Li
University of Pennsylvania - Marketing Department, Columbia University - Columbia Business School, Marketing and Cheung Kong Graduate School of Business

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dynamics, heterogeneity, Bayesian nonparametrics, Gaussian processes, choice models, topic models, machine learning