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EvalRS@KDD 2023: Long Beach, CA, USA

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Federico Bianchi, Patrick John Chia, Ciro Greco, Claudio Pomo, Gabriel de Souza P. Moreira, Davide Eynard, Fahd Husain, Jacopo Tagliabue:
Proceedings of EvalRS: A Rounded Evaluation Of Recommender Systems 2023 co-located with 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD 2023), Long Beach,CA, USA, August 7, 2023. CEUR Workshop Proceedings 3450, CEUR-WS.org 2023
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Preface.

Paper Session

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Isaac Noble, Ivan Vendrov, Xin Xu, Deepak Ramachandran:
Realistic but Non-Identifiable Synthetic User Data Generation.
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  - conf/kdd/MalitestaCPN23
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Daniele Malitesta, Giandomenico Cornacchia, Claudio Pomo, Tommaso Di Noia:
Disentangling the Performance Puzzle of Multimodal-aware Recommender Systems.
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  - conf/kdd/KasalickyAK23
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Petr Kasalický, Rodrigo Alves, Pavel Kordík:
Bridging Offline-Online Evaluation with a Time-dependent and Popularity Bias-free Offline Metric for Recommenders.
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Jonathan Gomes-Selman, Robert Friel, Bogdan Gheorghe, Derek Austin, Atindriyo Sanyal:
Evaluating Recommendation Systems Using the Power of Embeddings.
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Mayank Singh, Emily Ray, Marc Ferradou, Andrea Barraza-Urbina:
Metric@CustomerN: Evaluating Metrics at a Customer Level in E-Commerce.

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