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Recommenders with a mission: assessing diversity in newsrecommendations
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 towards the information that is most important to them.
Contextual Personalized Re-Ranking of Music Recommendations through Audio Features
We compare a global (context for all users) and personalized (context for each user) model based on these audio features.
Sudden Death: A New Way to Compare Recommendation Diversification
This paper describes problems with the current way we compare the diversity of different recommendation lists in offline experiments.
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