Temporal attention graph-optimized networks for sequential recommendation

Temporal attention graph-optimized networks for sequential recommendation

Sequential recommendation systems are pivotal in enhancing user experience by providing personalized suggestions based on historical data. However, traditional models often disregard the temporal dynamics of user-item interactions, which can lead to static and outdated recommendations that fail to r...

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Bibliografische gegevens
Hoofdauteur: Pathak, Siddhant
Andere auteurs: Ke Yiping, Kelly
Formaat: Final Year Project (FYP)
Taal:English
Gepubliceerd in: Nanyang Technological University 2024
Onderwerpen:
Computer and Information Science
Graph neural networks
Recommendation systems
Sequential recommendation
Online toegang:https://hdl.handle.net/10356/175250

Internet

https://hdl.handle.net/10356/175250

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