公开(公告)号：US20230098656A1

公开(公告)日：2023-03-30

申请号：US18070461

申请日：2022-11-28

Applicant: Lemon Inc.

Inventor： Aonan Zhang ,  Jiankai Sun ,  Ruocheng Guo ,  Taiqing Wang ,  Xiaohui Chen

IPC: G06N20/20

Abstract: The present disclosure describes techniques for improving data subsampling for recommendation systems. A user-item graph associated with training data may be constructed. An importance of user-item interactions may be estimated via graph conductance based on the user-item graph. An importance of the training data may be measured via sample hardness using a pre-trained pilot model. A subsampling rate may be generated based on the importance estimated from the user-item graph and the importance measured by the pre-trained pilot model.