2024
DOI: 10.1145/3701988
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Disentangled Dynamic Graph Attention Network for Out-of-Distribution Sequential Recommendation

Zeyang Zhang,
Xin Wang,
Haibo Chen
et al.

Abstract: Sequential recommendation, leveraging user-item interaction histories to provide personalized and timely suggestions, has drawn significant research interest recently. With the power of exploiting spatio-temporal dynamics, dynamic graph neural networks (DyGNNs) show great potential in sequential recommendation by modeling the dynamic relationship between users and items. However, spatio-temporal distribution shifts naturally exist in out-of-distribution sequential recommendation, where both user-item relations… Show more

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