Graph Spring Network and Informative Anchor Selection for session-based recommendation

Session-based recommendation (SBR) aims at predicting the next item for an ongoing anonymous session. The major challenge of SBR is how to capture richer relations in between items and learn ID-based item embeddings to capture such relations. Recent studies propose to first construct an item graph f...

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Veröffentlicht in:	Neural networks 2023-02, Vol.159, p.43-56
Hauptverfasser:	Zhang, Zizhuo, Wang, Bang
Format:	Artikel
Sprache:	eng
Schlagworte:	Entropy Graph neural network Graph spring network Informative anchor selection Item entropy Neural Networks, Computer Session-based recommendation
Online-Zugang:	Volltext
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