Joint Item Recommendation and Attribute Inference: An Adaptive Graph Convolutional Network Approach

25 May 2020Le WuYonghui YangKun ZhangRichang HongYanjie FuMeng Wang

In many recommender systems, users and items are associated with attributes, and users show preferences to items. The attribute information describes users'(items') characteristics and has a wide range of applications, such as user profiling, item annotation, and feature-enhanced recommendation... (read more)

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