Panagiotis (Panos) Adamopoulos
Panagiotis (Panos) Adamopoulos
Goizueta Business School, Emory University
Verified email at stern.nyu.edu - Homepage
TitleCited byYear
What Makes a Great MOOC? An Interdisciplinary Analysis of Student Retention in Online Courses
P Adamopoulos
Proceedings of the 34th International Conference on Information Systems …, 2013
2452013
On unexpectedness in recommender systems: Or how to better expect the unexpected
P Adamopoulos, A Tuzhilin
ACM Transactions on Intelligent Systems and Technology (TIST) 5 (4), 54, 2015
1982015
What makes a great MOOC
P Adamopoulos
An interdisciplinary analysis of student retention in online courses 5, 4720 …, 2013
562013
On Over-Specialization and Concentration Bias of Recommendations: Probabilistic Neighborhood Selection in Collaborative Filtering Systems
P Adamopoulos, A Tuzhilin
Proceedings of the 8th ACM Conference on Recommender systems, 153-160, 2014
522014
The Impact of User Personality Traits on Word-of-Mouth: Text-mining Social Media Platforms
P Adamopoulos, A Ghose, V Todri
Information Systems Research, 2018
34*2018
Beyond Rating Prediction Accuracy: On New Perspectives in Recommender Systems
P Adamopoulos
Proceedings of the 7th ACM conference on Recommender systems, 459-462, 2013
242013
The effectiveness of marketing strategies in social media: Evidence from promotional events
P Adamopoulos, V Todri
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015
232015
Social Commerce: An Empirical Examination of the Antecedents and Consequences of Commerce in Social Network Platforms
V Todri, P Adamopoulos
Proceedings of the 35th International Conference on Information Systems …, 2014
232014
Recommendation Opportunities: Improving Item Prediction Using Weighted Percentile Methods in Collaborative Filtering Systems
P Adamopoulos, A Tuzhilin
Proceedings of the 7th ACM conference on Recommender systems, 351-354, 2013
212013
On Discovering non-Obvious Recommendations: Using Unexpectedness and Neighborhood Selection Methods in Collaborative Filtering Systems
P Adamopoulos
Proceedings of the 7th ACM international conference on Web search and data …, 2014
182014
Estimating the Value of Multi-Dimensional Data Sets in Context-based Recommender Systems
P Adamopoulos, A Tuzhilin
Proceedings of the 8th ACM Conference on Recommender systems, 2014
172014
Social Media Analytics: The Effectiveness of Promotional Events on Brand User Base in Social Media
P Adamopoulos, V Todri
Proceedings of the 35th International Conference on Information Systems …, 2014
162014
Probabilistic Neighborhood Selection in Collaborative Filtering Systems
P Adamopoulos, A Tuzhilin
NYU Working Paper, 2013
10*2013
The Business Value of Recommendations: A Privacy-Preserving Econometric Analysis
P Adamopoulos, A Tuzhilin
Proceedings of the 36th International Conference on Information Systems, ICIS, 2015
92015
Personality-Based Recommendations: Evidence from Amazon.com
P Adamopoulos, V Todri
9th ACM Conference on Recommender systems, 2015
82015
Measuring the Concentration Reinforcement Bias of Recommender Systems
P Adamopoulos, A Tuzhilin, P Mountanos
9th ACM Conference on Recommender systems, 2015
62015
REDD 2014 - International Workshop on Recommender Systems Evaluation: Dimensions and Design
P Adamopoulos, A Bellogín, P Castells, P Cremonesi, H Steck
Proceedings of the 8th ACM Conference on Recommender systems, 393-394, 2014
52014
On unexpectedness in recommender systems: Or how to except the unexpected
P Adamopoulos, A Tuzhilin
Workshop on Novelty and Diversity in Recommender Systems in conjuction with …, 2011
42011
The Effectiveness of Promotional Events in Social Media
P Adamopoulos, V Todri
Workshop on Information Systems Economics (WISE), 2014
32014
ConcertTweets: A Multi-Dimensional Data Set for Recommender Systems Research
P Adamopoulos
http://stern.nyu.edu/~padamopo/data/, 2014
32014
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Articles 1–20