Ryan Dew

University of Pennsylvania - Marketing Department

Assistant Professor

700 Jon M. Huntsman Hall

3730 Walnut Street

Philadelphia, PA 19104-6340

United States

SCHOLARLY PAPERS

6

DOWNLOADS
Rank 30,290

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Top 30,290

in Total Papers Downloads

2,394

SSRN CITATIONS

6

CROSSREF CITATIONS

1

Scholarly Papers (6)

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 966 (34,375)
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 929 (36,312)
Citation 4

Abstract:

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

3.

Detecting Routines in Ride-sharing: Implications for Customer Management

Number of pages: 56 Posted: 11 Feb 2022
University of Pennsylvania - Marketing Department, Harvard Business School, Columbia University - Columbia Business School, Marketing and Columbia University
Downloads 175 (242,377)

Abstract:

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

4.

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 173 (244,833)

Abstract:

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Bayesian nonparametrics, Gaussian process, choice model, machine learning

5.

Mega or Micro? Influencer Selection Using Follower Elasticity

Number of pages: 63 Posted: 13 Aug 2022
University of Pennsylvania - Department of Economics, University of Pennsylvania - Marketing Department and University of Pennsylvania - Marketing Department
Downloads 151 (274,047)

Abstract:

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influencer marketing, causal inference, deep learning, representation learning, heterogeneous treatment effects, video data

6.

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

Abstract:

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