| Towards an ethical recommendation framework D Paraschakis 2017 11th international conference on research challenges in information …, 2017 | 47 | 2017 |
| Ensemble recommendations via thompson sampling: an experimental study within e-commerce B Brodén, M Hammar, BJ Nilsson, D Paraschakis Proceedings of the 23rd International Conference on Intelligent User …, 2018 | 43 | 2018 |
| Comparative evaluation of top-n recommenders in e-commerce: An industrial perspective D Paraschakis, BJ Nilsson, J Holländer 2015 IEEE 14th International Conference on Machine Learning and Applications …, 2015 | 43 | 2015 |
| Recommender systems from an industrial and ethical perspective D Paraschakis Proceedings of the 10th ACM conference on recommender systems, 463-466, 2016 | 38 | 2016 |
| Crowdsourcing cultural heritage metadata through social media gaming D Paraschakis Malmö högskola/Teknik och samhälle, 2013 | 22 | 2013 |
| Matchmaking under fairness constraints: a speed dating case study D Paraschakis, BJ Nilsson Bias and Social Aspects in Search and Recommendation: First International …, 2020 | 18 | 2020 |
| Algorithmic and ethical aspects of recommender systems in E-commerce D Paraschakis Malmö university, Faculty of Technology and Society, 2018 | 17 | 2018 |
| Bandit algorithms for e-Commerce recommender systems B Brodén, M Hammar, BJ Nilsson, D Paraschakis Proceedings of the Eleventh ACM Conference on Recommender Systems, 349-349, 2017 | 16 | 2017 |
| A bandit-based ensemble framework for exploration/exploitation of diverse recommendation components: An experimental study within e-commerce B Brodén, M Hammar, BJ Nilsson, D Paraschakis ACM Transactions on Interactive Intelligent Systems (TiiS) 10 (1), 1-32, 2019 | 14 | 2019 |
| Playful crowdsourcing of archival metadata through social networks D Paraschakis, MG Friberger Academy of Science and Engineering (ASE), USA,© ASE 2014, 2014 | 7 | 2014 |
| Artificial Intelligence in the Energy Transition for Solar Photovoltaic Small and Medium-Sized Enterprises M Schmidt, S Marrone, D Paraschakis, T Singh Digital Humanism: A Human-Centric Approach to Digital Technologies, 105-123, 2022 | 5 | 2022 |
| Flowrec: Prototyping session-based recommender systems in streaming mode D Paraschakis, BJ Nilsson Advances in Knowledge Discovery and Data Mining: 24th Pacific-Asia …, 2020 | 5 | 2020 |
| An ensemble recommender system for e-commerce B Brodén, M Hammar, BJ Nilsson, D Paraschakis Benelearn 2017: Proceedings of the Twenty-Sixth Benelux Conference on …, 2017 | 2 | 2017 |
| Sociotechnical Aspects of Automated Recommendations: Algorithms, Ethics, and Evaluation D Paraschakis Malmö University, 2020 | | 2020 |
Bengt J. NilssonProfessor of Computer Science, Malmö University在 mau.se 的电子邮件经过验证
