Zhang, Jin Cheng and Mohd. Zain, Azlan and Zhou, Kai Qing and Chen, Xi and Zhang, Ren Min (2023) Fusing fine-grained information of sequential news for personalized news recommendation. In: The 34th International Conference on Database and Expert Systems Applications DEXA 2023, 28 August 2023 - 30 August 2023, Penang, Malaysia.
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Official URL: http://dx.doi.org/10.1007/978-3-031-39821-6_9
Abstract
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 news representations. The clicked news optimizer introduces multi-headed self-attention and positional encoding techniques to optimize the clicked news representation. The user encoder uses news-level attention to learn user representations. Extensive experimental results demonstrate that FISN outperforms many baseline approaches in terms of metrics for real datasets.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Uncontrolled Keywords: | fine-grained information, news recommendation, personalized attention |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Divisions: | Computing |
| ID Code: | 108154 |
| Deposited By: | Yanti Mohd Shah |
| Deposited On: | 20 Oct 2024 08:02 |
| Last Modified: | 20 Oct 2024 08:02 |
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