Panagiotis Adamopoulos

Emory University - Information Systems and Operations Management

1300 Clifton Road

Atlanta, GA 30322

United States

SCHOLARLY PAPERS

6

DOWNLOADS

884

SSRN CITATIONS
Rank 36,949

SSRN RANKINGS

Top 36,949

in Total Papers Citations

14

CROSSREF CITATIONS

7

Scholarly Papers (6)

1.

Estimating the Impact of User Personality Traits on Word-of-Mouth: Text-Mining Microblogging Platforms

Number of pages: 75 Posted: 25 Oct 2015 Last Revised: 10 Nov 2017
Panagiotis Adamopoulos, Anindya Ghose and Vilma Todri
Emory University - Information Systems and Operations Management, New York University (NYU) - Leonard N. Stern School of Business and Emory University - Goizueta Business School
Downloads 473 (73,575)
Citation 8

Abstract:

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word-of-mouth, social media, personality, quasi-experiment, machine learning, deep learning

2.

Demand Effects of the Internet-of-Things Sales Channel: Evidence from Automating the Purchase Process

Information Systems Research (Forthcoming)
Number of pages: 76 Posted: 20 Dec 2017 Last Revised: 02 Jul 2020
Panagiotis Adamopoulos, Vilma Todri and Anindya Ghose
Emory University - Information Systems and Operations Management, Emory University - Goizueta Business School and New York University (NYU) - Leonard N. Stern School of Business
Downloads 130 (264,555)

Abstract:

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Internet of Things, Electronic Commerce, Channels, Sales Growth, Retailing, Econometrics

3.

On Unexpectedness in Recommender Systems: Or How to Better Expect the Unexpected

NYU Working Paper No. 2451/31832
Number of pages: 50 Posted: 24 Jun 2013
Panagiotis Adamopoulos and Alexander Tuzhilin
Emory University - Information Systems and Operations Management and New York University (NYU) - Leonard N. Stern School of Business
Downloads 110 (298,456)
Citation 6

Abstract:

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Algorithms, Design, Experimentation, Human Factors, Measurement, Performance, Evaluation, Novelty, Recommendations, Recommender Systems, Serendipity, Unexpectedness, Utility Theory

4.

Probabilistic Neighborhood Selection in Collaborative Filtering Systems

NYU Working Paper No. 2451/31988
Number of pages: 36 Posted: 09 Oct 2013
Alexander Tuzhilin and Panagiotis Adamopoulos
New York University (NYU) - Leonard N. Stern School of Business and Emory University - Information Systems and Operations Management
Downloads 92 (335,896)

Abstract:

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5.

Predicting Stages in Omnichannel Path to Purchase: A Deep Learning Model

NYU Stern School of Business
Number of pages: 43 Posted: 29 Mar 2021 Last Revised: 14 Jun 2021
Chenshuo Sun, Panagiotis Adamopoulos, Anindya Ghose and Xueming Luo
New York University (NYU) - Leonard N. Stern School of Business, Emory University - Information Systems and Operations Management, New York University (NYU) - Leonard N. Stern School of Business and Temple University
Downloads 59 (437,358)

Abstract:

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Omnichannel marketing, online-offline, purchase funnel, prediction, machine learning, deep learning, data value

6.

Heterogeneous Demand Effects of Recommendation Strategies in a Mobile Application: Evidence from Econometric Models and Machine-Learning Instruments

MIS Quarterly (Forthcoming), NYU Stern School of Business Forthcoming
Number of pages: 55 Posted: 18 Mar 2021
Panagiotis Adamopoulos, Anindya Ghose and Alexander Tuzhilin
Emory University - Information Systems and Operations Management, New York University (NYU) - Leonard N. Stern School of Business and New York University (NYU) - Leonard N. Stern School of Business
Downloads 20 (621,059)

Abstract:

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Recommendations, Demand, Mobile, Econometrics, Instrumental Variables, Deep learning, Machine learning