ARERec: Attentive Local Interaction Model for Sequential Recommendation

ARERec: Attentive Local Interaction Model for Sequential Recommendation

Previous sequential-recommendation methods have been able to capture patterns of item characteristics that interact with the user. However, they modeled user behavior using a whole interaction sequence, despite possible changes in a user’s behavior over time, which can make some behaviors...

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Bibliographic Details
Main Authors: Umaporn Padungkiatwattana, Thitiya Sae-Diae, Saranya Maneeroj, Atsuhiro Takasu
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Region embedding
attention mechanism
sequential recommendation
representation learning
Online Access:https://ieeexplore.ieee.org/document/9737503/

Internet

https://ieeexplore.ieee.org/document/9737503/

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