8 citations · 16 across the 4 of their papers we have counts for
4 papers
Impression-Aware Recommender Systems
Fernando B. Pérez Maurera, Maurizio Ferrari Dacrema, Pablo Castells +1
Novel data sources bring new opportunities to improve the quality of recommender systems and serve as a catalyst for the creation of new paradigms on personalized recommendations.…
Recommender Systems: A Primer
Pablo Castells, Dietmar Jannach
Personalized recommendations have become a common feature of modern online services, including most major e-commerce sites, media platforms and social networks. Today, due to their…
Human Preferences as Dueling Bandits
Xinyi Yan, Chengxi Luo, Charles L. A. Clarke +3
The dramatic improvements in core information retrieval tasks engendered by neural rankers create a need for novel evaluation methods. If every ranker returns highly relevant items…
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.…