313 citations · 750 across the 46 of their papers we have counts for
4 papers · 1 filter
Simulations for novel problems in recommendation: analyzing misinformation and data characteristics
Alejandro Bellogín, Yashar Deldjoo
In this position paper, we discuss recent applications of simulation approaches for recommender systems tasks. In particular, we describe how they were used to analyze the problem…
Understanding the Effects of Adversarial Personalized Ranking Optimization Method on Recommendation Quality
Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia +1
Recommender systems (RSs) employ user-item feedback, e.g., ratings, to match customers to personalized lists of products. Approaches to top-k recommendation mainly rely on Learning…
Content-driven Music Recommendation: Evolution, State of the Art, and Challenges
Yashar Deldjoo, Markus Schedl, Peter Knees
The music domain is among the most important ones for adopting recommender systems technology. In contrast to most other recommendation domains, which predominantly rely on collabo…
FedeRank: User Controlled Feedback with Federated Recommender Systems
Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia +2
Recommender systems have shown to be a successful representative of how data availability can ease our everyday digital life. However, data privacy is one of the most prominent con…