Intention-Centric Learning via Dual Attention for Sequential Recommendation

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...

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Bibliographic Details
Main Authors: Zhigao Zhang, Bin Wang, Xinqiang Xie
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Sequential recommendation
self-attention
slot attention
session intention
Online Access:https://ieeexplore.ieee.org/document/10379633/

Internet

https://ieeexplore.ieee.org/document/10379633/

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