| Catering for unique tastes: Targeting grey-sheep users recommender systems through one-class machine learning R Alabdulrahman, H Viktor Expert systems with applications 166, 114061, 2021 | 31 | 2021 |
| Personalised Recommendation Systems and the Impact of COVID-19: Perspectives, Opportunities and Challenges R Abdulrahman, H Viktor Proceedings of the 12th International Joint Conference on Knowledge …, 2020 | 9 | 2020 |
| Beyond k-NN: Combining Cluster Analysis and Classification for Recommender Systems. R Alabdulrahman, HL Viktor, E Paquet KDIR, 80-89, 2018 | 9 | 2018 |
| An active learning approach for ensemble-based data stream mining R Alabdulrahman, H Viktor, E Paquet International Conference on Knowledge Discovery and Information Retrieval 2 …, 2016 | 9 | 2016 |
| Active Learning and User Segmentation for the Cold-start Problem in Recommendation Systems. R Alabdulrahman, HL Viktor, E Paquet KDIR, 113-123, 2019 | 8 | 2019 |
| A comparative study of ensemble active learning R Alabdulrahman Université d'Ottawa/University of Ottawa, 2014 | 7 | 2014 |
| Active learning and deep learning for the cold-start problem in recommendation system: A comparative study R Alabdulrahman, H Viktor, E Paquet Knowledge Discovery, Knowledge Engineering and Knowledge Management: 11th …, 2020 | 5 | 2020 |
| Towards personalized recommendation systems: domain-driven machine learning techniques and frameworks R Alabdulrahman Université d'Ottawa/University of Ottawa, 2020 | 2 | 2020 |
| HCC-Learn Framework for Hybrid Learning in Recommender Systems R Alabdulrahman, H Viktor, E Paquet International Joint Conference on Knowledge Discovery, Knowledge Engineering …, 2020 | 1 | 2020 |
Eric PaquetNational Research CouncilVerified email at nrc-cnrc.gc.ca
Eric PaquetNational Research CouncilVerified email at nrc-cnrc.gc.ca