145 citations
- National Radio Astronomy ObservatoryUS6 papers
- University of ArizonaUS6 papers
- University of Colorado BoulderUS6 papers
- American Physical SocietyUS5 papers
- Eindhoven University of TechnologyNL5 papers
- Fermi National Accelerator LaboratoryUS5 papers
- Indiana University BloomingtonUS5 papers
- University of California, Santa BarbaraUS5 papers
- University of Illinois Urbana-ChampaignUS5 papers
- University of the PacificUS5 papers
- University of UtahUS5 papers
- Washington University in St. LouisUS5 papers
14 papers · 1 filter
Using user's local context to support local news
Payam Pourashraf, Bamshad Mobasher
American local newspapers have been experiencing a large loss of reader retention and business within the past 15 years due to the proliferation of online news sources. Local media…
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…