Spatio-Temporal Meta-Graph Learning for Recommendation on Heterogeneous Graphs

Spatio-temporal information plays a crucial role in recommendation systems, and effectively capturing the spatiotemporal characteristics of user-item interactions is essential to enhance the performance of such systems. Conventional recommendation systems primarily focus on capturing interaction fea...

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Bibliographic Details
Published in:IEEE Access
Main Authors: Xiaofei Yang, Wenjing Yang, Xiaoshuang Wang, Mei Gao, Lu Zhang
Format: Article
Language:English
Published: IEEE 2025-01-01
Subjects:
Meta-graph learning
spatio-temporal
recommendation
heterogeneous graphs
Online Access:https://ieeexplore.ieee.org/document/11122482/

Internet

https://ieeexplore.ieee.org/document/11122482/

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