| Hubs in space: Popular nearest neighbors in high-dimensional data M Radovanovic, A Nanopoulos, M Ivanovic Journal of Machine Learning Research 11 (sept), 2487-2531, 2010 | 805 | 2010 |
| R-Trees: Theory and Applications: Theory and Applications Y Manolopoulos, A Nanopoulos, AN Papadopoulos, Y Theodoridis Springer Science & Business Media, 2006 | 547 | 2006 |
| Learning optimal ranking with tensor factorization for tag recommendation S Rendle, L Balby Marinho, A Nanopoulos, L Schmidt-Thieme Proceedings of the 15th ACM SIGKDD international conference on Knowledge …, 2009 | 479 | 2009 |
| Feature-based classification of time-series data A Nanopoulos, R Alcock, Y Manolopoulos International Journal of Computer Research 10 (3), 49-61, 2001 | 452 | 2001 |
| Tag recommendations based on tensor dimensionality reduction P Symeonidis, A Nanopoulos, Y Manolopoulos Proceedings of the 2008 ACM conference on Recommender systems, 43-50, 2008 | 428 | 2008 |
| Reverse nearest neighbors in unsupervised distance-based outlier detection M Radovanović, A Nanopoulos, M Ivanović IEEE transactions on knowledge and data engineering 27 (5), 1369-1382, 2014 | 279 | 2014 |
| A unified framework for providing recommendations in social tagging systems based on ternary semantic analysis P Symeonidis, A Nanopoulos, Y Manolopoulos IEEE transactions on knowledge and data engineering 22 (2), 179-192, 2009 | 259 | 2009 |
| A data mining algorithm for generalized web prefetching A Nanopoulos, D Katsaros, Y Manolopoulos IEEE transactions on knowledge and data engineering 15 (5), 1155-1169, 2003 | 238 | 2003 |
| Social tagging in recommender systems: a survey of the state-of-the-art and possible extensions AK Milicevic, A Nanopoulos, M Ivanovic Artificial Intelligence Review 33, 187-209, 2010 | 223 | 2010 |
| The role of emotions for the perceived usefulness in online customer reviews A Felbermayr, A Nanopoulos Journal of Interactive Marketing 36 (1), 60-76, 2016 | 218 | 2016 |
| Recommender systems in e-learning environments: a survey of the state-of-the-art and possible extensions A Klašnja-Milićević, M Ivanović, A Nanopoulos Artificial Intelligence Review 44, 571-604, 2015 | 211 | 2015 |
| Musicbox: Personalized music recommendation based on cubic analysis of social tags A Nanopoulos, D Rafailidis, P Symeonidis, Y Manolopoulos IEEE Transactions on Audio, Speech, and Language Processing 18 (2), 407-412, 2009 | 192 | 2009 |
| MoviExplain: a recommender system with explanations P Symeonidis, A Nanopoulos, Y Manolopoulos Proceedings of the third ACM conference on Recommender systems, 317-320, 2009 | 182 | 2009 |
| Effective prediction of web-user accesses: A data mining approach A Nanopoulos, D Katsaros, Y Manolopoulos Proceedings of the WEBKDD Workshop, 2001 | 175 | 2001 |
| Providing justifications in recommender systems P Symeonidis, A Nanopoulos, Y Manolopoulos IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and …, 2008 | 159 | 2008 |
| Factorization techniques for predicting student performance N Thai-Nghe, L Drumond, T Horváth, A Krohn-Grimberghe, A Nanopoulos, ... Educational recommender systems and technologies: Practices and challenges …, 2012 | 152 | 2012 |
| C2P: Clustering based on closest pairs A Nanopoulos, Y Theodoridis, Y Manolopoulos VLDB, 331-340, 2001 | 151 | 2001 |
| Modeling users preference dynamics and side information in recommender systems D Rafailidis, A Nanopoulos IEEE Transactions on Systems, Man, and Cybernetics: Systems 46 (6), 782-792, 2015 | 148 | 2015 |
| Collaborative recommender systems: Combining effectiveness and efficiency P Symeonidis, A Nanopoulos, AN Papadopoulos, Y Manolopoulos Expert Systems with Applications 34 (4), 2995-3013, 2008 | 143 | 2008 |
| Nearest neighbors in high-dimensional data: The emergence and influence of hubs M Radovanović, A Nanopoulos, M Ivanović Proceedings of the 26th Annual International Conference on Machine Learning …, 2009 | 137 | 2009 |
