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/

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