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arXiv · 2304.07145

EvalRS 2023. Well-Rounded Recommender Systems For Real-World Deployments

Federico Bianchi·Patrick John Chia·Ciro Greco·Claudio Pomo·Gabriel Moreira·Davide Eynard·Fahd Husain·Jacopo Tagliabue
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Abstract

EvalRS aims to bring together practitioners from industry and academia to foster a debate on rounded evaluation of recommender systems, with a focus on real-world impact across a multitude of deployment scenarios. Recommender systems are often evaluated only through accuracy metrics, which fall short of fully characterizing their generalization capabilities and miss important aspects, such as fairness, bias, usefulness, informativeness. This workshop builds on the success of last year's workshop at CIKM, but with a broader scope and an interactive format.

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Federico Bianchi, Patrick John Chia, Ciro Greco, Claudio Pomo, Gabriel Moreira, Davide Eynard, Fahd Husain, Jacopo Tagliabue. 2023-04-14. EvalRS 2023. Well-Rounded Recommender Systems For Real-World Deployments. https://arxiv.org/abs/2304.07145

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