Exploring the Side-Information Fusion for Sequential Recommendation
Side information fusion for sequential recommendation aims to mitigate the data sparsity problems by leveraging the additional knowledge besides item ID. While most state-of-the-art methods devised elaborate fusion methods to incorporate side-information, they overlooked that there are distinct char...
| Main Authors: | , , , |
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| 格式: | 文件 |
| 语言: | English |
| 出版: |
IEEE
2025-01-01
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| 丛编: | IEEE Access |
| 主题: | |
| 在线阅读: | https://ieeexplore.ieee.org/document/10824815/ |