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Journal Articles
- 2023
[j6]Nasim Mousavi, Panagiotis Adamopoulos
, Jesse C. Bockstedt:
The Decoy Effect and Recommendation Systems. Inf. Syst. Res. 34(4): 1533-1553 (2023)- 2022
- [j5]Chenshuo Sun, Panagiotis Adamopoulos, Anindya Ghose, Xueming Luo:
Predicting Stages in Omnichannel Path to Purchase: A Deep Learning Model. Inf. Syst. Res. 33(2): 429-445 (2022) - [j4]Panagiotis Adamopoulos, Anindya Ghose, Alexander Tuzhilin:
Heterogeneous Demand Effects of Recommendation Strategies in a Mobile Application: Evidence from Econometric Models and Machine-Learning Instruments. MIS Q. 46(1): 101-150 (2022) - 2021
- [j3]Panagiotis Adamopoulos, Vilma Todri, Anindya Ghose:
Demand Effects of the Internet-of-Things Sales Channel: Evidence from Automating the Purchase Process. Inf. Syst. Res. 32(1): 238-267 (2021) - 2018
- [j2]Panagiotis Adamopoulos, Anindya Ghose, Vilma Todri:
The Impact of User Personality Traits on Word of Mouth: Text-Mining Social Media Platforms. Inf. Syst. Res. 29(3): 612-640 (2018) - 2014
- [j1]Panagiotis Adamopoulos, Alexander Tuzhilin:
On Unexpectedness in Recommender Systems: Or How to Better Expect the Unexpected. ACM Trans. Intell. Syst. Technol. 5(4): 54:1-54:32 (2014)
Conference and Workshop Papers
- 2022
- [c20]Nasim Mousavi, Panagiotis Adamopoulos, Jesse C. Bockstedt:
Discussion Types and User Behavior in MOOCs. ICIS 2022 - 2021
- [c19]Nasim Mousavi, Jesse C. Bockstedt, Panagiotis Adamopoulos:
Personalization and the Decoy Effect. ICIS 2021 - 2020
- [c18]Dimitrios Kotsifakos, Panagiotis Adamopoulos, Paraskevi Kotsifakou, Christos Douligeris:
Vocational Education and Training Apprenticeship: Using Teaching and Learning Analytics in a Learning Management System for improved Collaboration, Individual Empowerment and Development of Apprentices. EDUCON 2020: 1775-1782 - 2018
- [c17]Panagiotis Adamopoulos, Anindya Ghose, Vilma Todri:
Demand Effects of the Internet-of-Things Sales Channel. ICIS 2018 - [c16]Panagiotis Adamopoulos, Dimitrios Kotsifakos, Christos Douligeris:
Study, design and development of a modern video system to improve services from the production to the end user. PCI 2018: 196-201 - 2016
- [c15]Dimitrios Kotsifakos, Panagiotis Adamopoulos, Christos Douligeris:
Design and Development of a Learning Management System for Vocational Education. SEEDA-CECNSM 2016: 110-117 - 2015
- [c14]Panagiotis Adamopoulos, Alexander Tuzhilin:
The Business Value of Recommendations: A Privacy-Preserving Econometric Analysis. ICIS 2015 - [c13]Panagiotis Adamopoulos, Vilma Todri:
The Effectiveness of Marketing Strategies in Social Media: Evidence from Promotional Events. KDD 2015: 1641-1650 - [c12]Panagiotis Adamopoulos, Vilma Todri:
Personality-Based Recommendations: Evidence from Amazon.com. RecSys Posters 2015 - [c11]Panagiotis Adamopoulos, Alexander Tuzhilin, Peter Mountanos:
Measuring the Concentration Reinforcement Bias of Recommender Systems. RecSys Posters 2015 - 2014
- [c10]Panagiotis Adamopoulos, Vilma Todri:
Social Media Analytics: The Effectiveness of Promotional Events on Brand User Base in Social Media. ICIS 2014 - [c9]Vilma Todri, Panagiotis Adamopoulos:
Social Commerce: An Empirical Examination of the Antecedents and Consequences of Commerce in Social Network Platforms. ICIS 2014 - [c8]Panagiotis Adamopoulos, Alejandro Bellogín, Pablo Castells, Paolo Cremonesi, Harald Steck:
REDD 2014 - international workshop on recommender systems evaluation: dimensions and design. RecSys 2014: 393-394 - [c7]Panagiotis Adamopoulos, Alexander Tuzhilin:
Estimating the Value of Multi-Dimensional Data Sets in Context-based Recommender Systems. RecSys Posters 2014 - [c6]Panagiotis Adamopoulos, Alexander Tuzhilin:
On over-specialization and concentration bias of recommendations: probabilistic neighborhood selection in collaborative filtering systems. RecSys 2014: 153-160 - [c5]Panagiotis Adamopoulos:
On discovering non-obvious recommendations: using unexpectedness and neighborhood selection methods in collaborative filtering systems. WSDM 2014: 655-660 - 2013
- [c4]Panagiotis Adamopoulos:
What makes a great MOOC? An interdisciplinary analysis of student retention in online courses. ICIS 2013 - [c3]Panagiotis Adamopoulos, Alexander Tuzhilin:
Recommendation opportunities: improving item prediction using weighted percentile methods in collaborative filtering systems. RecSys 2013: 351-354 - [c2]Panagiotis Adamopoulos:
Beyond rating prediction accuracy: on new perspectives in recommender systems. RecSys 2013: 459-462 - 2011
- [c1]Panagiotis Adamopoulos, Alexander Tuzhilin:
On Unexpectedness in Recommender Systems: Or How to Expect the Unexpected. DiveRS@RecSys 2011: 11-18
Informal and Other Publications
- 2021
- [i1]Panagiotis Adamopoulos, Anindya Ghose, Alexander Tuzhilin:
Heterogeneous Demand Effects of Recommendation Strategies in a Mobile Application: Evidence from Econometric Models and Machine-Learning Instruments. CoRR abs/2102.10468 (2021)
Coauthor Index
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