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ARERec: Attentive Local Interaction Model for Sequential Recommendation

Umaporn Padungkiatwattana, Thitiya Sae-diae, Saranya Maneeroj, Atsuhiro Takasu
2022 IEEE Access  
In this paper, we therefore propose a novel attentive local-interaction model for sequential recommendation called ARERec, which applies a region-embedding technique to both user and item historical sequences  ...  Previous sequential-recommendation methods have been able to capture patterns of item characteristics that interact with the user.  ...  CONCLUSION In this paper, we propose a novel attentive local-interaction model for sequential recommendation called ARERec.  ... 
doi:10.1109/access.2022.3160466 fatcat:votzhqlptfcubojjz35yinmkou