Naomi (Naime) Ranjbar Kermany
Naomi (Naime) Ranjbar Kermany
Associate Data Scientist at Commonwealth Bank of Australia and PhD student at Macquarie university
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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
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
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
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
A New Model for Best Customer Segment Selection Using Fuzzy TOPSIS Based on Shannon Entropy
N Ranjbar Kermany, S H Alizadeh
Journal of Computer & Robotics 5 (2), 7-12, 2012
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
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
Incorporating user rating credibility in recommender systems
NR Kermany
Sydney, Australia: Macquarie University, 2019
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