Dynamic intent-aware and cross-session integration for session-based recommendation

Abstract Session-based Recommendation (SBR) aims to predict the next item a user will interact with by leveraging historical behaviors in anonymous sessions. Most existing methods, including GNN-based approaches, often overlook time-series information within sessions, which is critical for capturing...

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Detalles Bibliográficos

Principais autores:	Keqin Jiang, Anyu Pan, Yuchen Jiang, Shulin Cheng
Formato:	Artigo
Idioma:	Inglês
Publicado:	Springer 2025-12-01
Series:	Discover Artificial Intelligence
Assuntos:	Recommendation systems Session-based recommendation Graph convolution Temporal convolution
Acceso en liña:	https://doi.org/10.1007/s44163-025-00650-w
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