| Group-based recipe recommendations: analysis of data aggregation strategies S Berkovsky, J Freyne Proceedings of the fourth ACM conference on Recommender systems, 111-118, 2010 | 341 | 2010 |
| Mediation of user models for enhanced personalization in recommender systems S Berkovsky, T Kuflik, F Ricci User Modeling and User-Adapted Interaction 18 (3), 245-286, 2008 | 309 | 2008 |
| Intelligent food planning: personalized recipe recommendation J Freyne, S Berkovsky Proceedings of the 15th international conference on Intelligent user …, 2010 | 301 | 2010 |
| Cross-domain recommender systems I Cantador, I Fernández-Tobías, S Berkovsky, P Cremonesi Recommender systems handbook, 919-959, 2015 | 262 | 2015 |
| The personalization of conversational agents in health care: systematic review AB Kocaballi, S Berkovsky, JC Quiroz, L Laranjo, HL Tong, ... Journal of medical Internet research 21 (11), e15360, 2019 | 217 | 2019 |
| Cross-Domain Mediation in Collaborative Filtering S Berkovsky, T Kuflik, FR Ricci Proceedings of the 11th international conference on User Modeling (UM’07 …, 2007 | 216 | 2007 |
| Enhancing privacy and preserving accuracy of a distributed collaborative filtering S Berkovsky, Y Eytani, T Kuflik, F Ricci Proceedings of the 2007 ACM conference on Recommender systems, 9-16, 2007 | 195 | 2007 |
| Relating Personality Types with User Preferences in Multiple Entertainment Domains. I Cantador, I Fernández-Tobías, A Bellogín, M Kosinski, D Stillwell UMAP Workshops 997, 2013 | 173 | 2013 |
| Influencing individually: fusing personalization and persuasion S Berkovsky, J Freyne, H Oinas-Kukkonen ACM Transactions on Interactive Intelligent Systems (TiiS) 2 (2), 1-8, 2012 | 171 | 2012 |
| Physical activity motivating games: virtual rewards for real activity S Berkovsky, M Coombe, J Freyne, D Bhandari, N Baghaei Proceedings of the SIGCHI conference on human factors in computing systems …, 2010 | 161 | 2010 |
| Applying differential privacy to matrix factorization A Berlioz, A Friedman, MA Kaafar, R Boreli, S Berkovsky Proceedings of the 9th ACM Conference on Recommender Systems, 107-114, 2015 | 154 | 2015 |
| Privacy aspects of recommender systems A Friedman, BP Knijnenburg, K Vanhecke, L Martens, S Berkovsky Recommender systems handbook, 649-688, 2015 | 146 | 2015 |
| Detecting personality traits using eye-tracking data S Berkovsky, R Taib, I Koprinska, E Wang, Y Zeng, J Li, S Kleitman Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems …, 2019 | 139 | 2019 |
| Features predicting weight loss in overweight or obese participants in a web-based intervention: randomized trial E Brindal, J Freyne, I Saunders, S Berkovsky, G Smith, M Noakes Journal of medical Internet research 14 (6), e2156, 2012 | 128 | 2012 |
| Mobile health and privacy: cross sectional study G Tangari, M Ikram, K Ijaz, MA Kaafar, S Berkovsky bmj 373, 2021 | 124 | 2021 |
| User trust dynamics: An investigation driven by differences in system performance K Yu, S Berkovsky, R Taib, D Conway, J Zhou, F Chen Proceedings of the 22nd international conference on intelligent user …, 2017 | 115 | 2017 |
| Optimal Greedy Diversity for Recommendation. A Ashkan, B Kveton, S Berkovsky, Z Wen IJCAI 15, 1742-1748, 2015 | 115 | 2015 |
| Isocitrate dehydrogenase (IDH) status prediction in histopathology images of gliomas using deep learning S Liu, Z Shah, A Sav, C Russo, S Berkovsky, Y Qian, E Coiera, A Di Ieva Scientific reports 10 (1), 7733, 2020 | 110 | 2020 |
| A differential privacy framework for matrix factorization recommender systems A Friedman, S Berkovsky, MA Kaafar User Modeling and User-Adapted Interaction 26, 425-458, 2016 | 110 | 2016 |
| How to recommend? User trust factors in movie recommender systems S Berkovsky, R Taib, D Conway Proceedings of the 22nd international conference on intelligent user …, 2017 | 102 | 2017 |
Jill FreyneCSIRO在 csiro.au 的电子邮件经过验证
