Try This Instead: Personalized and Interpretable Substitute Recommendation

19 May 2020Tong ChenHongzhi YinGuanhua YeZi HuangYang WangMeng Wang

As a fundamental yet significant process in personalized recommendation, candidate generation and suggestion effectively help users spot the most suitable items for them. Consequently, identifying substitutable items that are interchangeable opens up new opportunities to refine the quality of generated candidates... (read more)

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