no code implementations • 15 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.
no code implementations • 6 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.
2 code implementations • 21 Apr 2022 • Xinyi Yan, Chengxi Luo, Charles L. A. Clarke, Nick Craswell, Ellen M. Voorhees, Pablo Castells
Based on these simulations, one algorithm stands out for its potential.
no code implementations • 31 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.
no code implementations • 6 Feb 2019 • Rocío Cañamares, Pablo Castells
The use of IR methodology in the evaluation of recommender systems has become common practice in recent years.