activity
20172025
most citedUser-centered Evaluation of Popularity Bias in Recommender Systems

145 citations · 356 across the 26 of their papers we have counts for

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Showing 2021Show all

7 papers · 1 filter

cs.IR2021

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…

cs.IR202123 cited

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…

cs.IR202173 cited

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…

cs.IR20212 cited

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…

cs.AI2021

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…

cs.IR202125 cited

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…