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EvalRS@KDD
2023
2023
2023
Keyphrases
Publications
2023
Preface.
EvalRS@KDD
(2023)
Mayank Singh
,
Emily Ray
,
Marc Ferradou
,
Andrea Barraza-Urbina
Metric@CustomerN: Evaluating Metrics at a Customer Level in E-Commerce.
EvalRS@KDD
(2023)
Isaac Noble
,
Ivan Vendrov
,
Xin Xu
,
Deepak Ramachandran
Realistic but Non-Identifiable Synthetic User Data Generation.
EvalRS@KDD
(2023)
Petr Kasalický
,
Rodrigo Alves
,
Pavel Kordík
Bridging Offline-Online Evaluation with a Time-dependent and Popularity Bias-free Offline Metric for Recommenders.
EvalRS@KDD
(2023)
Daniele Malitesta
,
Giandomenico Cornacchia
,
Claudio Pomo
,
Tommaso Di Noia
Disentangling the Performance Puzzle of Multimodal-aware Recommender Systems.
EvalRS@KDD
(2023)
Jonathan Gomes-Selman
,
Robert Friel
,
Bogdan Gheorghe
,
Derek Austin
,
Atindriyo Sanyal
Evaluating Recommendation Systems Using the Power of Embeddings.
EvalRS@KDD
(2023)
volume 3450, 2023
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.
EvalRS@KDD
3450 (2023)