Fusing fine-grained information of sequential news for personalized news recommendation
In this paper, we propose a novel method that fuses Fine-grained Information of Sequential News for personalized news recommendation (FISN). FISN comprises three primary modules: news encoder, clicked news optimizer and user encoder. The news encoder uses fine-grained information to learn accurate n...
Saved in:
| Main Authors: | , , , , |
|---|---|
| 格式: | Conference or Workshop Item |
| 出版: |
2023
|
| 主題: | |
| 在線閱讀: | http://eprints.utm.my/108154/ http://dx.doi.org/10.1007/978-3-031-39821-6_9 |
| 標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|