145 citations
- National Radio Astronomy ObservatoryUS7 papers
- University of ArizonaUS7 papers
- Indiana University BloomingtonUS6 papers
- University of California, Santa BarbaraUS6 papers
- University of Colorado BoulderUS6 papers
- University of Illinois Urbana-ChampaignUS6 papers
- American Physical SocietyUS5 papers
- Eindhoven University of TechnologyNL5 papers
- Fermi National Accelerator LaboratoryUS5 papers
- University of Colorado SystemUS5 papers
- University of the PacificUS5 papers
- University of UtahUS5 papers
5 papers · 2 filters
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…
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…
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…
User-centered Evaluation of Popularity Bias in Recommender Systems
Himan Abdollahpouri, Masoud Mansoury, Robin Burke +2
Recommendation and ranking systems are known to suffer from popularity bias; the tendency of the algorithm to favor a few popular items while under-representing the majority of oth…