| A hybrid multi-criteria recommender system using ontology and neuro-fuzzy techniques NR Kermany, SH Alizadeh Electronic Commerce Research and Applications 21, 50-64, 2017 | 129 | 2017 |
| Fair-SRS: A fair session-based recommendation system N Ranjbar Kermany, J Yang, J Wu, L Pizzato Proceedings of the Fifteenth ACM International Conference on Web Search and …, 2022 | 19 | 2022 |
| An ethical multi-stakeholder recommender system based on evolutionary multi-objective optimization NR Kermany, W Zhao, J Yang, J Wu, L Pizzato 2020 IEEE international conference on services computing (SCC), 478-480, 2020 | 18 | 2020 |
| A fairness-aware multi-stakeholder recommender system N Ranjbar Kermany, W Zhao, J Yang, J Wu, L Pizzato World Wide Web 24 (6), 1995-2018, 2021 | 17 | 2021 |
| Reincre: Enhancing collaborative filtering recommendations by incorporating user rating credibility NR Kermany, W Zhao, J Yang, J Wu International Conference on Web Information Systems Engineering, 64-72, 2020 | 8 | 2020 |
| Incorporating user rating credibility in recommender systems NR Kermany, W Zhao, T Batsuuri, J Yang, J Wu Future Generation Computer Systems 147, 30-43, 2023 | 6 | 2023 |
| A New Model for Best Customer Segment Selection Using Fuzzy TOPSIS Based on Shannon Entropy KN RANJBAR, AS HOSSEIN JOURNAL OF COMPUTER AND ROBOTICS 5 (2), 7-12, 2012 | 4 | 2012 |
| A fuzzy recommender system for forecasting customer segmentation by multi-variable fuzzy rule interpolation NR Kermany, SH Alizadeh 2013 13th Iranian Conference on Fuzzy Systems (IFSC), 1-5, 2013 | 3 | 2013 |
| A multi-stakeholder recommender system for rewards recommendations N Ranjbar Kermany, L Pizzato, T Min, C Scott, A Leontjeva Proceedings of the 16th ACM Conference on Recommender Systems, 484-487, 2022 | 2 | 2022 |
| A vector embedder for non-natural language data D Jermyn, L Pizzato, A Leontjeva, NR Kermany, P Songco, J Elliott | | 2024 |
| Towards Fairness-aware Multi-Objective Recommendation Systems NR Kermany Macquarie University, 2024 | | 2024 |
| PD-SRS: Personalized Diversity for a Fair Session-Based Recommendation System NR Kermany, L Pizzato, J Yang, S Xue, J Wu International Conference on Service-Oriented Computing, 331-339, 2022 | | 2022 |
| Incorporating User Rating Credibility in Recommender Systems N Ranjbar Kermany, W Zhao, J Yang, J Wu Available at SSRN 4165425, 0 | | |
Jian YangProfessor, Deputy Director of Applied AI Research Centre, Macquarie UniversityVerified email at mq.edu.au
