| Comparative Recommender System Evaluation: Benchmarking Recommendation Frameworks A Said, A Bellogín Proceedings of the 8th ACM Conference on Recommender systems, 129-136, 2014 | 251 | 2014 |
| Towards health (aware) recommender systems H Schäfer, S Hors-Fraile, RP Karumur, A Calero Valdez, A Said, ... Proceedings of the 2017 international conference on digital health, 157-161, 2017 | 146 | 2017 |
| User-Centric Evaluation of a K-Furthest Neighbor Collaborative Filtering Recommender Algorithm A Said, B Fields, BJ Jain, S Albayrak Proceedings of the ACM 2013 conference on Computer Supported Cooperative …, 2013 | 142 | 2013 |
| A hybrid approach to item recommendation in folksonomies R Wetzker, W Umbrath, A Said Proceedings of the WSDM'09 Workshop on Exploiting Semantic Annotations in …, 2009 | 117 | 2009 |
| Putting things in context: Challenge on context-aware movie recommendation A Said, S Berkovsky, EW De Luca Proceedings of the workshop on context-aware movie recommendation, 2-6, 2010 | 92 | 2010 |
| Users and Noise: The Magic Barrier of Recommender Systems A Said, BJ Jain, S Narr, T Plumbaum Proceedings of the 20th international conference on Advances in User …, 2012 | 79 | 2012 |
| Rival: a toolkit to foster reproducibility in recommender system evaluation A Said, A Bellogín Proceedings of the 8th ACM Conference on Recommender systems, 371-372, 2014 | 71 | 2014 |
| Recommender Systems Evaluation: A 3D Benchmark A Said, D Tikk, Y Shi, M Larson, K Stumpf, P Cremonesi Workshop on Recommendation Utility Evaluation: Beyond RMSE, 2012 | 71 | 2012 |
| How social relationships affect user similarities A Said, EW De Luca, S Albayrak Proceedings of the 2010 Workshop on Social Recommender Systems, 2010 | 67 | 2010 |
| Bringing the “healthy” into Food Recommenders D Elsweiler, M Harvey, B Ludwig, A Said Workshop on Decision Making and Recommender Systems, 33-36, 2015 | 63 | 2015 |
| Predicting Cyber Vulnerability Exploits with Machine Learning M Edkrantz, A Said Thirteenth Scandinavian Conference on Artificial Intelligence 278, 58-57, 2015 | 59 | 2015 |
| Increasing Diversity Through Furthest Neighbor-Based Recommendation A Said, B Kille, BJ Jain, S Albayrak 2nd Workshop on Diversity in Document Retrieval, DDR'12, 2012 | 58 | 2012 |
| Inferring Contextual User Profiles-Improving Recommender Performance A Said, EW De Luca, S Albayrak 3rd ACM RecSys Workshop on Context-Aware Recommender Systems, 2011 | 55 | 2011 |
| Analyzing weighting schemes in collaborative filtering: cold start, post cold start and power users A Said, BJ Jain, S Albayrak Proceedings of the 27th Annual ACM Symposium on Applied Computing, 2035-2040, 2012 | 51 | 2012 |
| Evaluating Group Recommender Systems C Trattner, A Said, L Boratto, A Felfernig Group Recommender Systems, 59-71, 2018 | 48* | 2018 |
| Group recommendation in context A Said, S Berkovsky, EW De Luca Proceedings of the 2nd challenge on context-aware movie recommendation, 2-4, 2011 | 47 | 2011 |
| Context-Awareness in Recommender Systems: Research Workshop and Movie Recommendation Challenge G Adomavicius, A Tuzhilin, S Berkovsky, EW De Luca, A Said Proceedings of the fourth ACM conference on Recommender systems, 2010 | 45 | 2010 |
| A hybrid PLSA approach for warmer cold start in folksonomy recommendation A Said, R Wetzker, W Umbrath, L Hennig Proceedings of the RecSys 2009 Workshop on Recommender Systems & The Social Web, 2009 | 44* | 2009 |
| Coherence and inconsistencies in rating behavior: estimating the magic barrier of recommender systems A Said, A Bellogín User Modeling and User-Adapted Interaction 28 (2), 97-125, 2018 | 38 | 2018 |
| The Magic Barrier of Recommender Systems–No Magic, Just Ratings A Bellogín, A Said Springer, 2014 | 38 | 2014 |
Ernesto William De LucaProfessor of Human-Centred Artificial Intelligence, University of Magdeburg在 ovgu.de 的电子邮件经过验证
