Dokyun Lee

Carnegie Mellon University - David A. Tepper School of Business

Assistant Professor of Business Analytics

5000 Forbes Avenue

Pittsburgh, PA 15213-3890

United States

  • Carnegie Mellon University - David A. Tepper School of Business

SCHOLARLY PAPERS

13

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24,078

SSRN CITATIONS
Rank 16,280

SSRN RANKINGS

Top 16,280

in Total Papers Citations

48

CROSSREF CITATIONS

15

Ideas:
“  Economics of Unstructured Data, Interpretable Machine Learning for Business and Society, Unintended Consequence of Machine Learning.  ”

  • Carnegie Mellon University - David A. Tepper School of Business

Scholarly Papers (13)

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1.

Advertising Content and Consumer Engagement on Social Media: Evidence from Facebook

Management Science, Accepted and Forthcoming
Number of pages: 57 Posted: 26 Sep 2013 Last Revised: 07 Mar 2018
Dokyun Lee, Kartik Hosanagar and Harikesh Nair
Carnegie Mellon University - David A. Tepper School of Business, University of Pennsylvania - Operations & Information Management Department and Stanford University - Graduate School of Business
Downloads 8,127 (751)
Citation 11

Abstract:

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consumer engagement, social media, advertising content, content engineering, marketing communication, large-scale data, natural language processing, machine learning, selection, Facebook, EdgeRank, content engineering, text mining

2.

Focused Concept Miner (FCM): Interpretable Deep Learning for Text Exploration

Number of pages: 45 Posted: 21 Dec 2018 Last Revised: 23 Sep 2020
Dokyun Lee, Emaad Manzoor and Zhaoqi Cheng
Carnegie Mellon University - David A. Tepper School of Business, Carnegie Mellon University, Students and Carnegie Mellon University - David A. Tepper School of Business
Downloads 4,219 (2,379)
Citation 4

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Interpretable Machine Learning, Deep Learning, Text Mining, Automatic Concept Extraction, Coherence, Transparent Algorithm, Augmented Hypothesis Development, XAI

3.

Will the Global Village Fracture into Tribes: Recommender Systems and Their Effects on Consumers

Management Science, Vol. 60, No. 4, pp. 805-823, April 2014
Number of pages: 33 Posted: 31 Dec 2008 Last Revised: 05 Aug 2015
Kartik Hosanagar, Daniel M. Fleder, Dokyun Lee and Andreas Buja
University of Pennsylvania - Operations & Information Management Department, University of Pennsylvania - The Wharton School, Carnegie Mellon University - David A. Tepper School of Business and University of Pennsylvania - Statistics Department
Downloads 3,803 (2,836)
Citation 19

Abstract:

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recommender systems, collaborative filtering, fragmentation, personalization, long tail

4.

How Much Is an Image Worth? Airbnb Property Demand Estimation Leveraging Large Scale Image Analytics

Number of pages: 32 Posted: 31 May 2017 Last Revised: 17 Jun 2018
Shunyuan Zhang, Dokyun Lee, Param Vir Singh and Kannan Srinivasan
Harvard University, Carnegie Mellon University - David A. Tepper School of Business, Carnegie Mellon University - David A. Tepper School of Business and Carnegie Mellon University - David A. Tepper School of Business
Downloads 3,634 (3,056)
Citation 9

Abstract:

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sharing economy, Airbnb, economic impact of images, photography, computer vision, deep learning, image quality classification, image feature extraction, treatment effect, image attribute analysis

5.

How Do Recommender Systems Affect Sales Diversity? A Cross-Category Investigation via Randomized Field Experiment

Forthcoming at Information Systems Research
Number of pages: 44 Posted: 07 Oct 2016 Last Revised: 15 Sep 2018
Dokyun Lee and Kartik Hosanagar
Carnegie Mellon University - David A. Tepper School of Business and University of Pennsylvania - Operations & Information Management Department
Downloads 1,315 (16,361)
Citation 11

Abstract:

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E-Commerce, Personalization, Recommender systems, Sales volume, Sales diversity, Consumer purchase behavior, Collaborative filtering, Gini coefficient

6.

How Do Product Attributes and Reviews Moderate the Impact of Recommender Systems Through Purchase Stages?

Number of pages: 45 Posted: 08 Oct 2018 Last Revised: 20 Oct 2019
Dokyun Lee and Kartik Hosanagar
Carnegie Mellon University - David A. Tepper School of Business and University of Pennsylvania - Operations & Information Management Department
Downloads 1,048 (22,979)

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E-commerce, Personalization, Recommender Systems, Product Attributes, Consumer Reviews, Awareness, Salience, Purchase Journey

7.

Large-Scale Cross-Category Analysis of Consumer Review Content and Sales Conversion Leveraging Deep Learning

NET Institute Working Paper No. 16-09
Number of pages: 84 Posted: 11 Oct 2016 Last Revised: 12 Jul 2019
Xiao Liu, Dokyun Lee and Kannan Srinivasan
New York University (NYU) - Leonard N. Stern School of Business, Carnegie Mellon University - David A. Tepper School of Business and Carnegie Mellon University
Downloads 698 (40,636)
Citation 6

Abstract:

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Consumer Purchase Journey, Product Reviews, Review Content, Deep Learn- ing, Content Engineering, Economic Impact of Text

8.

Demand Interactions in Sharing Economies: Evidence from a Natural Experiment Involving Airbnb and Uber/Lyft

Number of pages: 62 Posted: 23 Feb 2018 Last Revised: 16 Oct 2020
Shunyuan Zhang, Dokyun Lee, Param Vir Singh and Tridas Mukhopadhyay
Harvard University, Carnegie Mellon University - David A. Tepper School of Business, Carnegie Mellon University - David A. Tepper School of Business and Carnegie Mellon University - David A. Tepper School of Business
Downloads 504 (61,993)
Citation 3

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sharing economy, Airbnb, Uber, Lyft, sharing effects, natural experiment, geographic demand dispersion, transportation cost

9.

Good Explanation for Algorithmic Transparency

Number of pages: 31 Posted: 07 Jan 2020 Last Revised: 21 Oct 2020
Joy Lu, Dokyun Lee, Tae Wan Kim and David Danks
Carnegie Mellon University, Tepper School of Business, Carnegie Mellon University - David A. Tepper School of Business, Carnegie Mellon University - David A. Tepper School of Business and Carnegie Mellon University
Downloads 266 (128,661)
Citation 2

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explainable AI, interpretable AI, lab experiments

10.

Soul and Machine (Learning)

NYU Stern School of Business
Number of pages: 17 Posted: 24 Sep 2019 Last Revised: 26 Aug 2020
Davide Proserpio, John R. Hauser, Xiao Liu, Tomomichi Amano, Alex Burnap, Tong Guo, Dokyun Lee, Randall A. Lewis, Kanishka Misra, Eric M. Schwartz, Artem Timoshenko, Lilei Xu and Hema Yoganarasimhan
Marshall School of Business, University of Southern California, MIT Sloan School of Management, New York University (NYU) - Leonard N. Stern School of Business, Harvard University - Business School (HBS), MIT Sloan School of Management, Duke University, Fuqua School of Business, Carnegie Mellon University - David A. Tepper School of Business, Netflix, University of Michigan, Stephen M. Ross School of Business, University of Michigan, Stephen M. Ross School of Business, Kellogg School of Management, Northwestern University, affiliation not provided to SSRN and University of Washington
Downloads 182 (184,701)
Citation 1

Abstract:

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Machine learning, marketing

11.

Peer Awards Increase User Content Generation but Reduce Content Novelty

Number of pages: 46 Posted: 17 Oct 2019
Gordon Burtch, Qinglai He, Yili Hong and Dokyun Lee
University of Minnesota - Twin Cities - Carlson School of Management, Arizona State University, University of Houston - C.T. Bauer College of Business and Carnegie Mellon University - David A. Tepper School of Business
Downloads 153 (214,349)
Citation 3

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Peer awards, user-generated content, novelty, Reddit, text-mining, field experiment

12.

Micro-Giving: On the Use of Mobile Devices and Monetary Subsidies in Charitable Giving

Number of pages: 39 Posted: 02 Dec 2018
Dongwon Lee, Anandasivam Gopal and Dokyun Lee
Hong Kong University of Science & Technology (HKUST) - HKUST Business School, University of Maryland - Robert H. Smith School of Business and Carnegie Mellon University - David A. Tepper School of Business
Downloads 118 (262,636)
Citation 1

Abstract:

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Mobile Devices; Mobile Apps; Cause Marketing; Push Notifications; Monetary Incentives; Matching; Rebates; Intertemporal Choice; Field Experiments

13.

Peer Awards Retain New Users and Encourage Exploitation in Users’ Production of Creative UGC

Number of pages: 65
Gordon Burtch, Qinglai He, Yili Hong and Dokyun Lee
University of Minnesota - Twin Cities - Carlson School of Management, Arizona State University, University of Houston - C.T. Bauer College of Business and Carnegie Mellon University - David A. Tepper School of Business
Downloads 11

Abstract:

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Peer awards, user-generated content, novelty, Reddit, text-mining, field experiment