8 citations · 13 across the 2 of their papers we have counts for
3 papers
cs.IR2020★ 8 cited
Recommenders with a mission: assessing diversity in newsrecommendations
Sanne Vrijenhoek, Mesut Kaya, Nadia Metoui +3
News recommenders help users to find relevant online content and have the potential to fulfill a crucial role in a democratic society, directing the scarce attention of citizens to…
cs.IR2020★ 5 cited
Contextual Personalized Re-Ranking of Music Recommendations through Audio Features
Boning Gong, Mesut Kaya, Nava Tintarev
Users are able to access millions of songs through music streaming services like Spotify, Pandora, and Deezer. Access to such large catalogs, created a need for relevant song recom…
cs.IR2019
Sudden Death: A New Way to Compare Recommendation Diversification
Derek Bridge, Mesut Kaya, Pablo Castells
This paper describes problems with the current way we compare the diversity of different recommendation lists in offline experiments. We illustrate the problems with a case study.…