A Graph Neural Networks-Based Learning Framework With Hyperbolic Embedding for Personalized Tag Recommendation

A Graph Neural Networks-Based Learning Framework With Hyperbolic Embedding for Personalized Tag Recommendation

Learning high-quality representations of users, items, and tags from historical interactive data is crucial for personalized tag recommendation (PTR) systems. Currently, most PTR models are committed to learning representations from first-order interactions without considering the exploitation of hi...

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Bibliographic Details
Main Authors: Chunmei Zhang, Aoran Zhang, Li Zhang, Yonghong Yu, Weibin Zhao, Hai Geng
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Tag recommendation
graph neural networks
hyperbolic geometry
representation learning
embedding
Online Access:https://ieeexplore.ieee.org/document/10374134/

Internet

https://ieeexplore.ieee.org/document/10374134/

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