145 citations · 356 across the 26 of their papers we have counts for
7 papers · 1 filter
How does the User's Knowledge of the Recommender Influence their Behavior?
Muheeb Faizan Ghori, Arman Dehpanah, Jonathan Gemmell +2
Recommender systems have become a ubiquitous part of modern web applications. They help users discover new and relevant items. Today's users, through years of interaction with thes…
Unbiased Cascade Bandits: Mitigating Exposure Bias in Online Learning to Rank Recommendation
Masoud Mansoury, Himan Abdollahpouri, Bamshad Mobasher +3
Exposure bias is a well-known issue in recommender systems where items and suppliers are not equally represented in the recommendation results. This is especially problematic when…
A Graph-based Approach for Mitigating Multi-sided Exposure Bias in Recommender Systems
Masoud Mansoury, Himan Abdollahpouri, Mykola Pechenizkiy +2
Fairness is a critical system-level objective in recommender systems that has been the subject of extensive recent research. A specific form of fairness is supplier exposure fairne…
The Evaluation of Rating Systems in Team-based Battle Royale Games
Arman Dehpanah, Muheeb Faizan Ghori, Jonathan Gemmell +1
Online competitive games have become a mainstream entertainment platform. To create a fair and exciting experience, these games use rating systems to match players with similar ski…
Evaluating Team Skill Aggregation in Online Competitive Games
Arman Dehpanah, Muheeb Faizan Ghori, Jonathan Gemmell +1
One of the main goals of online competitive games is increasing player engagement by ensuring fair matches. These games use rating systems for creating balanced match-ups. Rating s…
Toward the Next Generation of News Recommender Systems
Himan Abdollahpouri, Edward Malthouse, Joseph Konstan +2
This paper proposes a vision and research agenda for the next generation of news recommender systems (RS), called the table d'hote approach. A table d'hote (translates as host's ta…