Search Results for author: Pablo Castells

Found 5 papers, 1 papers with code

Impression-Aware Recommender Systems

no code implementations15 Aug 2023 Fernando B. Pérez Maurera, Maurizio Ferrari Dacrema, Pablo Castells, Paolo Cremonesi

We present a systematic literature review on recommender systems using impressions, focusing on three fundamental angles in research: recommenders, datasets, and evaluation methodologies.

Recommendation Systems

Recommender Systems: A Primer

no code implementations6 Feb 2023 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.

Retrieval Session-Based Recommendations

Sudden Death: A New Way to Compare Recommendation Diversification

no code implementations31 Jul 2019 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.

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