| A social recommender system based on reliable implicit relationships S Ahmadian, N Joorabloo, M Jalili, Y Ren, M Meghdadi, M Afsharchi Knowledge-Based Systems 192, 105371, 2020 | 87 | 2020 |
| Alleviating data sparsity problem in time-aware recommender systems using a reliable rating profile enrichment approach S Ahmadian, N Joorabloo, M Jalili, M Ahmadian Expert Systems with Applications 187, 115849, 2022 | 69 | 2022 |
| A temporal clustering approach for social recommender systems S Ahmadian, N Joorabloo, M Jalili, M Meghdadi, M Afsharchi, Y Ren 2018 IEEE/ACM International Conference on Advances in Social Networks …, 2018 | 48 | 2018 |
| Australia's long-term electricity demand forecasting using deep neural networks H Hamedmoghadam, N Joorabloo, M Jalili arXiv preprint arXiv:1801.02148, 2018 | 32 | 2018 |
| Improved collaborative filtering recommendation through similarity prediction N Joorabloo, M Jalili, Y Ren IEEE Access 8, 202122-202132, 2020 | 16 | 2020 |
| Improved recommender systems by denoising ratings in highly sparse datasets through individual rating confidence N Joorabloo, M Jalili, Y Ren Information Sciences 601, 242-254, 2022 | 13 | 2022 |
| A probabilistic graph-based method to solve precision-diversity dilemma in recommender systems N Joorabloo, M Jalili, Y Ren Expert Systems with Applications 184, 115485, 2021 | 6 | 2021 |
| A probabilistic graph-based method to improve recommender system accuracy N Joorabloo, M Jalili, Y Ren International Conference on Engineering Applications of Neural Networks, 151-163, 2019 | 6 | 2019 |
| Next Generation Recommender Systems: A Practical Approach N Joorabloo RMIT University, 2021 | | 2021 |
Mahdi JaliliProfessor at RMIT University, Melbourne, Australia在 rmit.edu.au 的电子邮件经过验证
