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traditional models often disregard the temporal dynamics of user-item interactions, which can lead to static and outdated recommendations that fail to r...
Saved in:
主要作者: | |
---|---|
其他作者: | |
格式: | Final Year Project |
語言: | English |
出版: |
Nanyang Technological University
2024
|
主題: | |
在線閱讀: | https://hdl.handle.net/10356/175250 |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
成為第一個發表評論!