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...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Keqin Jiang, Anyu Pan, Yuchen Jiang, Shulin Cheng
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	Springer 2025-12-01
Sarja:	Discover Artificial Intelligence
Aiheet:	Recommendation systems Session-based recommendation Graph convolution Temporal convolution
Linkit:	https://doi.org/10.1007/s44163-025-00650-w
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