Discreetly Exploiting Inter-Session Information for Session-Based Recommendation
Limited intra-session information has constrained the performance of early Graph Neural Network (GNN)-based session-based recommendation (SBR) models. To address this issue, researchers have increasingly incorporated inter-session information to improve next-item prediction. Although such additional...
I tiakina i:
| Ngā kaituhi matua: | , , , , , |
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| Hōputu: | Artigo |
| Reo: | Inglês |
| I whakaputaina: |
MDPI AG
2025-02-01
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| Rangatū: | Applied Sciences |
| Ngā marau: | |
| Urunga tuihono: | https://www.mdpi.com/2076-3417/15/4/2151 |
| Ngā Tūtohu: |
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
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