Session-Enhanced Graph Neural Network Recommendation Model (SE-GNNRM)

Session-based recommendation aims to predict anonymous user actions. Many existing session recommendation models do not fully consider the impact of similar sessions on recommendation performance. Graph neural networks can better capture the conversion relationship of items within a session, but som...

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Bibliografski detalji
Glavni autori: Lifeng Yin, Pengyu Chen, Guanghai Zheng
Format: Artigo
Jezik:Inglês
Izdano: MDPI AG 2022-04-01
Serija:Applied Sciences
Teme:
session recommendation
graph neural networks
self-attention mechanism
transitions relationship
Online pristup:https://www.mdpi.com/2076-3417/12/9/4314
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