Asim Ansari

Columbia University - Columbia Business School, Marketing

William T. Dillard Professor of Marketing

New York, NY 10027

United States

SCHOLARLY PAPERS

18

DOWNLOADS
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6,408

SSRN CITATIONS
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SSRN RANKINGS

Top 15,044

in Total Papers Citations

88

CROSSREF CITATIONS

13

Scholarly Papers (18)

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 1,279 (31,855)
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 1,140 (37,532)
Citation 4

Abstract:

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

The Max-Min-Min Principle of Product Differentiation

Number of pages: 36 Posted: 01 Feb 1997
Columbia University - Columbia Business School, Marketing, New York University - Leonard N. Stern School of Business - Department of Economics and New York University (NYU) - Department of Marketing
Downloads 962 (47,112)
Citation 3

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The Max-Min-Min Principle of Product Differentiation

Journal Of Regional Science, 1997
Posted: 16 Apr 1997
Columbia University - Columbia Business School, Marketing, New York University - Leonard N. Stern School of Business - Department of Economics and New York University (NYU) - Department of Marketing

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4.

Probabilistic Machine Learning: New Frontiers for Modeling Consumers and their Choices

The Wharton School Research Paper, SMU Cox School of Business Research Paper No. 24-4
Number of pages: 53 Posted: 16 Apr 2024 Last Revised: 07 Oct 2024
University of Pennsylvania - Marketing Department, London Business School - Department of Marketing, Columbia University - Columbia Business School, University of British Columbia (UBC) - Sauder School of Business, Columbia University - Columbia Business School, Marketing, Cornell University - Samuel Curtis Johnson Graduate School of Management, Southern Methodist University (SMU) - Marketing Department, University of Michigan, Stephen M. Ross School of BusinessUniversity of Michigan at Ann Arbor - Marketing, HKUST Business School, Goethe University Frankfurt - Department of Marketing, University of North Carolina at Chapel Hill, University of Michigan at Ann Arbor and University of Florida - Warrington College of Business Administration
Downloads 683 (75,643)

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machine learning, Bayesian statistics, Bayesian nonparametrics, generative models, unstructured data, representation learning, causal inference

5.

Modeling Multiple Relationships in Social Networks

Journal of Marketing Research, Vol. 48, No. 4, pp. 713-728, 2011
Number of pages: 17 Posted: 17 Nov 2011
Asim Ansari, Oded Koenigsberg and Florian Stahl
Columbia University - Columbia Business School, Marketing, London Business School - Department of Marketing and Mannheim Business School
Downloads 445 (128,327)
Citation 4

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6.

Dynamic Targeted Pricing in B2B Settings

Zhang, Jonathan Z., Oded Netzer, and Asim Ansari. "Dynamic targeted pricing in B2B relationships." Marketing Science 33.3 (2014): 317-337
Number of pages: 54 Posted: 30 Aug 2011 Last Revised: 07 Nov 2016
Jonathan Z. Zhang, Oded Netzer and Asim Ansari
University of Washington - Michael G. Foster School of Business, Columbia University - Columbia Business School, Marketing and Columbia University - Columbia Business School, Marketing
Downloads 383 (152,505)
Citation 9

Abstract:

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7.

Probabilistic Topic Model for Hybrid Recommender Systems: A Stochastic Variational Bayesian Approach

Marketing Science, 37(6), 987-1008​, 2018
Number of pages: 50 Posted: 15 Feb 2017 Last Revised: 20 Aug 2019
Asim Ansari, Yang Li and Jonathan Z. Zhang
Columbia University - Columbia Business School, Marketing, Cheung Kong Graduate School of Business and University of Washington - Michael G. Foster School of Business
Downloads 370 (158,427)
Citation 2

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Hybrid Recommendation Models, Personalized Search, User-Generated Content, Probabilistic Topic Models, Big Data, Scalable Inference, Stochastic Variational Bayes

8.

A Generative Model of Consumer Collections

Number of pages: 43 Posted: 21 Nov 2022 Last Revised: 31 Jul 2023
Khaled Boughanmi, Asim Ansari and Yang Li
Cornell University - Samuel Curtis Johnson Graduate School of Management, Columbia University - Columbia Business School, Marketing and Cheung Kong Graduate School of Business
Downloads 367 (159,913)
Citation 1

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Consumer Collections, Hypergraphs, Generative Topological Neural Networks, Music Industry, Playlist Generation and Recommendation.

9.

The Joint Impact of Revenue-based Loyalty Program and Promotions on Consumer Purchase Behavior

Number of pages: 49 Posted: 01 Dec 2020
Jia Liu, Asim Ansari and Leonard Lee
HKUST Business School, Columbia University - Columbia Business School, Marketing and National University of Singapore (NUS)
Downloads 206 (287,205)

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Loyalty Programs, Personalized Promotions, Goal Achievement and Failure, Nonlinear Point Thresholds, Timing of Reward

10.

Choice Models and Customer Relationship Management

Kamakura, Wagner A., Mela, Carl F., Ansari, Asim, Bodapati, Anand V., Fader, Peter, Iyengar, Raghuram, Naik, Prasad A. , Neslin, Scott, Sun, Baohong, Verhoef, Peter C., Wedel, Michel and Wilcox, Ronald T., Choice Models and Customer Relationship Management (2005). Marketing Letters 16:3/4, 279-291
Number of pages: 13 Posted: 12 Feb 2014
Rice University, Duke University - Fuqua School of Business, Columbia University - Columbia Business School, Marketing, University of California, Los Angeles (UCLA) - Anderson School of Management, University of Pennsylvania - Marketing Department, University of Pennsylvania - Marketing Department, University of California, Davis, Dartmouth College - Tuck School of Business, Carnegie Mellon University - David A. Tepper School of Business, University of Groningen - Department of Marketing & Marketing Research, University of Maryland - Robert H. Smith School of Business, Marketing Department and University of Virginia - Darden School of Business
Downloads 173 (336,115)
Citation 2

Abstract:

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customer relationship management, direct marketing

11.

A Bayesian Semiparametric Approach for Endogeneity and Heterogeneity in Choice Models

Management Science 60(5):1161-1179, 2014
Number of pages: 20 Posted: 28 May 2013 Last Revised: 20 Aug 2019
Yang Li and Asim Ansari
Cheung Kong Graduate School of Business and Columbia University - Columbia Business School, Marketing
Downloads 167 (346,664)
Citation 3

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Discrete Choice, Endogeneity, Semiparametric Bayesian, Centered Dirichlet Process Mixture, Heterogeneity

12.

Meta-Learning Customer Preference Dynamics on Digital Platforms

Number of pages: 51 Posted: 13 Mar 2024
Mingzhang Yin, Khaled Boughanmi and Asim Ansari
University of Florida - Warrington College of Business Administration, Cornell University - Samuel Curtis Johnson Graduate School of Management and Columbia University - Columbia Business School, Marketing
Downloads 144 (391,896)

Abstract:

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Meta-Learning, Digital Platforms, Personalization, Cold Start Problem, Transformer Model

13.

Dynamic Learning in Behavioral Games: A Hidden Markov Mixture of Experts Approach

Quantitative Marketing and Economics, Vol. 10.4: 475-503. DOI 10.1007/s11129-012-9125-8, 2012
Number of pages: 38 Posted: 08 Nov 2016
Asim Ansari, Ricardo Montoya and Oded Netzer
Columbia University - Columbia Business School, Marketing, University of Chile - Industrial Engineering and Columbia University - Columbia Business School, Marketing
Downloads 89 (555,146)

Abstract:

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Learning, Behavioral Game Theory, Experimental Economics, Hidden Markov Mixture of Experts Model, Bayesian Estimation

14.

Understanding Consumer Dynamic Decision Making Under Competing Loyalty Programs

Columbia Business School Research Paper Forthcoming
Posted: 04 Sep 2019 Last Revised: 06 Oct 2022
Jia Liu and Asim Ansari
HKUST Business School and Columbia University - Columbia Business School, Marketing

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Loyalty Programs, Promotions, Competition, Bounded Rationality, Approximate Dynamic Programming, Experiments

15.

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

16.

Towards a Brain-to-Society Systems Model of Individual Choice

Marketing Letters, Volume 19, Issue 3, pp 323-336
Posted: 24 Jun 2016
McGill University - Desautels Faculty of Management, University of Southern California, McGill University - Desautels Faculty of Management, Columbia University - Columbia Business School, Marketing, McGill University - Division of Experimental Medicine, University of South Australia, Pennsylvania State University, McGill University - Division of Experimental Medicine, Brookings Institution - Center on Social and Economic Dynamics, NICHD, Duke University - Department of Psychology and Neuroscience, University of Montreal, McGill University - Department of Psychology, Tilburg University - Tilburg University School of Economics and Management, Queen's University and Erasmus Research Institute of Management (ERIM)

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Choice models, Dual-process models, Agent systems, Sequential sampling process models, Motivated adaptive behavior, Neuroscience, Neuroeconomics

17.

Representing Heterogeneity in Consumer Response Models 1996 Choice Conference Participants

Marketing Letters, Volume 8, Issue 3, pp 335-348, 1997
Posted: 09 Jun 2016
Pennsylvania State University, Columbia University - Columbia Business School, Marketing, University of Chicago, Goldman, Sachs & Co., Columbia University - Columbia Business School, Marketing, Sawtooth Software, Rice University, University of Michigan, Stephen M. Ross School of BusinessUniversity of Michigan, Carnegie Mellon University - David A. Tepper School of Business and University of Maryland - Robert H. Smith School of Business, Marketing Department

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Heterogeneity, latent structure models, cluster-wise regression, random coefficients models, compound distributions

18.

Leveraging Information Across Categories

Quantitative Marketing and Economics, Vol. 1, No. 4, pp. 425-465, December 2003, HBS Marketing Unit Research Paper No. 03-06
Posted: 03 Jan 2004 Last Revised: 15 Jun 2011
Raghurim Iyengar, Asim Ansari and Sunil Gupta
Columbia Business School, Columbia University - Columbia Business School, Marketing and Harvard University - Business School (HBS)

Abstract:

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Bayesian analysis, Cross-category modeling, information transfer