BiTG4Rec: Bidirectional Transformer Graphs for Sequential-Social Recommendation

Sequential-social recommendation systems are essential for understanding users’ evolving interests and predicting their future behaviors. While existing methods employing bidirectional graph modeling have shown promising results in capturing user interactions, they face significant challenges...

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Bibliographic Details

Main Authors:	Nikorn Kannikaklang, Sartra Wongthanavasu
Format:	Artigo
Language:	Inglês
Published:	IEEE 2025-01-01
Series:	IEEE Access
Subjects:	Bidirectional methods graph convolutional network graph attention network graph contrastive learning sequential recommendation social recommendation
Online Access:	https://ieeexplore.ieee.org/document/11184816/
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