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A Session-Based Recommendation Model That Integrates the Temporal Sequence of Session Interactions and the Global Distance-Awareness of Items with Graph Neural Networks

In the session-based recommendation algorithm, a better class of methods is to model the complex interaction relationship within the session as a graph structure, and then use the graph neural network to capture the deep features of the item from it. However, most models do not deeply mine the effec...

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Principais autores: Jianfei Li, Yongbin Wang, Guohui Song, Nenghuan Zhang
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI AG 2023-12-01
coleção:Applied Sciences
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Acesso em linha:https://www.mdpi.com/2076-3417/13/24/13031
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