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traditional models often disregard the temporal dynamics of user-item interactions, which can lead to static and outdated recommendations that fail to r...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2024
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| Online Access: | https://hdl.handle.net/10356/175250 |