Farhad Zafari

发表

Modelling socially-influenced conditional preferences over feature values in recommender systems based on factorised collaborative filtering

Irene Moser, Farhad Zafari, Farhad Zafari, 2017, Expert Syst. Appl..

POPPONENT: Highly accurate, individually and socially efficient opponent preference model in bilateral multi issue negotiations (Extended Abstract)

Farhad Zafari, Faria Nassiri Mofakham, Faria Nassiri-Mofakham, 2017, IJCAI.

ReEx: An integrated architecture for preference model representation and explanation

Timos Sellis, Irene Moser, Farhad Zafari, 2020, Expert Syst. Appl..

Proposing a Highly Accurate Hybrid Component-Based Factorised Preference Model in Recommender Systems

Irene Moser, Farhad Zafari, Rasoul Rahmani, 2017, IJCAI.

Development of the next-generation of dewatering technologies for mature fine tailings (MFTs) from oil sands processing

Farhad Zafari, 2016 .

Modelling and Analysis of Temporal Preference Drifts Using A Component-Based Factorised Latent Approach

Tim Baarslag, Farhad Zafari, Irene Moser, 2018, Expert Syst. Appl..

BraveCat: Iterative Deepening Distance-Based Opponent Modeling and Hybrid Bidding in Nonlinear Ultra Large Bilateral Multi Issue Negotiation Domains

Farhad Zafari, Faria Nassiri Mofakham, 2014, ANAC@AAMAS.

POPPONENT: Highly accurate, individually and socially efficient opponent preference model in bilateral multi issue negotiations

Farhad Zafari, Faria Nassiri Mofakham, Faria Nassiri-Mofakham, 2016, Artif. Intell..

Feature-Aware Factorised Collaborative Filtering

Irene Moser, Farhad Zafari, 2016, Australasian Conference on Artificial Intelligence.

Offline Evaluation Standards for Recommender Systems

Fernando Mourão, Sabir Ribas, Farhad Zafari, 2021, RecSys.