Panagiotis Adamopoulos

Orcid: 0000-0002-4289-1767

According to our database1, Panagiotis Adamopoulos authored at least 25 papers between 2011 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2022
Heterogeneous Demand Effects of Recommendation Strategies in a Mobile Application: Evidence from Econometric Models and Machine-Learning Instruments.
MIS Q., 2022

Predicting Stages in Omnichannel Path to Purchase: A Deep Learning Model.
Inf. Syst. Res., 2022

Discussion Types and User Behavior in MOOCs.
Proceedings of the 43rd International Conference on Information Systems, 2022

2021
Demand Effects of the Internet-of-Things Sales Channel: Evidence from Automating the Purchase Process.
Inf. Syst. Res., 2021

Personalization and the Decoy Effect.
Proceedings of the 42nd International Conference on Information Systems, 2021

2020
Vocational Education and Training Apprenticeship: Using Teaching and Learning Analytics in a Learning Management System for improved Collaboration, Individual Empowerment and Development of Apprentices.
Proceedings of the 2020 IEEE Global Engineering Education Conference, 2020

2018
The Impact of User Personality Traits on Word of Mouth: Text-Mining Social Media Platforms.
Inf. Syst. Res., 2018

Study, design and development of a modern video system to improve services from the production to the end user.
Proceedings of the 22nd Pan-Hellenic Conference on Informatics, 2018

Demand Effects of the Internet-of-Things Sales Channel.
Proceedings of the International Conference on Information Systems, 2018

2016
Design and Development of a Learning Management System for Vocational Education.
Proceedings of the SouthEast European Design Automation, 2016

2015
Measuring the Concentration Reinforcement Bias of Recommender Systems.
Proceedings of the Poster Proceedings of the 9th ACM Conference on Recommender Systems, 2015

Personality-Based Recommendations: Evidence from Amazon.com.
Proceedings of the Poster Proceedings of the 9th ACM Conference on Recommender Systems, 2015

The Effectiveness of Marketing Strategies in Social Media: Evidence from Promotional Events.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

The Business Value of Recommendations: A Privacy-Preserving Econometric Analysis.
Proceedings of the International Conference on Information Systems, 2015

2014
On Unexpectedness in Recommender Systems: Or How to Better Expect the Unexpected.
ACM Trans. Intell. Syst. Technol., 2014

On discovering non-obvious recommendations: using unexpectedness and neighborhood selection methods in collaborative filtering systems.
Proceedings of the Seventh ACM International Conference on Web Search and Data Mining, 2014

On over-specialization and concentration bias of recommendations: probabilistic neighborhood selection in collaborative filtering systems.
Proceedings of the Eighth ACM Conference on Recommender Systems, 2014

Estimating the Value of Multi-Dimensional Data Sets in Context-based Recommender Systems.
Proceedings of the Poster Proceedings of the 8th ACM Conference on Recommender Systems, 2014

REDD 2014 - international workshop on recommender systems evaluation: dimensions and design.
Proceedings of the Eighth ACM Conference on Recommender Systems, 2014

Social Commerce: An Empirical Examination of the Antecedents and Consequences of Commerce in Social Network Platforms.
Proceedings of the International Conference on Information Systems, 2014

Social Media Analytics: The Effectiveness of Promotional Events on Brand User Base in Social Media.
Proceedings of the International Conference on Information Systems, 2014

2013
Recommendation opportunities: improving item prediction using weighted percentile methods in collaborative filtering systems.
Proceedings of the Seventh ACM Conference on Recommender Systems, 2013

Beyond rating prediction accuracy: on new perspectives in recommender systems.
Proceedings of the Seventh ACM Conference on Recommender Systems, 2013

What makes a great MOOC? An interdisciplinary analysis of student retention in online courses.
Proceedings of the International Conference on Information Systems, 2013

2011
On Unexpectedness in Recommender Systems: Or How to Expect the Unexpected.
Proceedings of the Workshop on Novelty and Diversity in Recommender Systems, 2011


  Loading...