Graph-Based Model-Agnostic Data Subsampling for Recommendation Systems

Data subsampling is widely used to speed up the training of large-scale recommendation systems. Most subsampling methods are model-based and often require a pre-trained pilot model to measure data importance via e.g. sample hardness. However, when the pilot model is misspecified, model-based subsamp...

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Veröffentlicht in:	arXiv.org 2023-06
Hauptverfasser:	Chen, Xiaohui, Sun, Jiankai, Wang, Taiqing, Guo, Ruocheng, Li-Ping, Liu, Zhang, Aonan
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Information Retrieval Computer Science - Learning Computer Science - Social and Information Networks Data structures Data transfer (computers) Datasets Graphical representations Recommender systems Topology
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