no code implementations • EACL (GWC) 2021 • Hossein Rouhizadeh, Mehrnoush Shamsfard, Mahdi Dehghan, Masoud Rouhizadeh
Supervised approaches usually achieve the best performance in the Word Sense Disambiguation problem.
1 code implementation • 17 May 2022 • Hossein A. Rahmani, Mohammadmehdi Naghiaei, Mahdi Dehghan, Mohammad Aliannejadi
In this paper, we re-produce a user-oriented fairness study and provide extensive experiments to analyze the dependency of their proposed method on various fairness and recommendation aspects, including the recommendation domain, nature of the base ranking model, and user grouping method.
1 code implementation • 27 Feb 2022 • Mohammadmehdi Naghiaei, Hossein A. Rahmani, Mahdi Dehghan
Furthermore, our study shows a tradeoff between personalization and unfairness of popularity bias in recommendation algorithms for users belonging to the Diverse and Bestseller groups, that is, algorithms with high capability of personalization suffer from the unfairness of popularity bias.
no code implementations • 5 Apr 2020 • Mahdi Dehghan, Hossein A. Rahmani, Ahmad Ali Abin, Viet-Vu Vu
An efficient solution to cope with this concern is to hire T-shaped experts that are cost-effective.