Intention-Centric Learning via Dual Attention for Sequential Recommendation
In sequential recommendation, it is critical to accurately capture the user’s intention with limited session information. Previous work concentrates on modeling a single relationship existing between items in an ongoing session, e.g., sequential dependency or graph structures. They lack t...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10379633/ |