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Farhad Zafari
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2020 – today
- 2022
- [c6]Aditya Joshi, Chin Lin Wong, Diego Marinho de Oliveira, Farhad Zafari, Fernando Mourão, Sabir Ribas, Saumya Pandey:
Imbalanced Data Sparsity as a Source of Unfair Bias in Collaborative Filtering. RecSys 2022: 531-533 - 2021
- [c5]Chin Lin Wong, Diego Marinho de Oliveira, Farhad Zafari, Fernando Mourão, Rafael Colares, Sabir Ribas:
Offline Evaluation Standards for Recommender Systems. RecSys 2021: 567-568 - 2020
- [j4]Farhad Zafari, Irene Moser, Timos Sellis:
ReEx: An integrated architecture for preference model representation and explanation. Expert Syst. Appl. 161: 113706 (2020)
2010 – 2019
- 2019
- [j3]Farhad Zafari, Irene Moser, Tim Baarslag:
Modelling and analysis of temporal preference drifts using a component-based factorised latent approach. Expert Syst. Appl. 116: 186-208 (2019) - 2018
- [i1]Farhad Zafari, Irene Moser, Tim Baarslag:
Modelling and Analysis of Temporal Preference Drifts Using A Component-Based Factorised Latent Approach. CoRR abs/1802.09728 (2018) - 2017
- [j2]Farhad Zafari, Irene Moser:
Modelling socially-influenced conditional preferences over feature values in recommender systems based on factorised collaborative filtering. Expert Syst. Appl. 87: 98-117 (2017) - [c4]Farhad Zafari, Rasoul Rahmani, Irene Moser:
Proposing a Highly Accurate Hybrid Component-Based Factorised Preference Model in Recommender Systems. IJCAI 2017: 1332-1339 - [c3]Farhad Zafari, Faria Nassiri Mofakham:
POPPONENT: Highly accurate, individually and socially efficient opponent preference model in bilateral multi issue negotiations (Extended Abstract). IJCAI 2017: 5100-5104 - 2016
- [j1]Farhad Zafari, Faria Nassiri Mofakham:
POPPONENT: Highly accurate, individually and socially efficient opponent preference model in bilateral multi issue negotiations. Artif. Intell. 237: 59-91 (2016) - [c2]Farhad Zafari, Irene Moser:
Feature-Aware Factorised Collaborative Filtering. Australasian Conference on Artificial Intelligence 2016: 561-569 - 2014
- [c1]Farhad Zafari, Faria Nassiri Mofakham:
BraveCat: Iterative Deepening Distance-Based Opponent Modeling and Hybrid Bidding in Nonlinear Ultra Large Bilateral Multi Issue Negotiation Domains. ANAC@AAMAS 2014: 285-293
Coauthor Index
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