ARGO: Modeling Heterogeneity in E-commerce Recommendation
Daqing Wu,
Xiao Luo,
Zeyu Ma
et al.
Abstract:Nowadays, E-commerce is increasingly integrated into our daily lives. Meanwhile, shopping process has also changed incrementally from one behavior (purchase) to multiple behaviors (such as view, carting and purchase). Therefore, utilizing interaction data of auxiliary behavior data draws a lot of attention in the E-commerce recommender systems. However, all existing models ignore two kinds of intrinsic heterogeneity which are helpful to capture the difference of user preferences and the difference of item attr… Show more
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