Enhanced Attention Framework for Multi-Interest Sequential Recommendation

Enhanced Attention Framework for Multi-Interest Sequential Recommendation

Sequential recommendation tasks predict items to be interacted at the next moment according to users’ historical behavior sequences. A large number of studies have shown that accuracy is not the only evaluation metric in the sequential recommendation tasks. Diversity can measure homogenei...

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Bibliographic Details
Main Authors: Dapeng Yin, Shuang Feng
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Multi-interest recommendation
attention
sequential recommendation
Online Access:https://ieeexplore.ieee.org/document/9802112/

Internet

https://ieeexplore.ieee.org/document/9802112/

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