Transcription of IEEE TRANSACTIONS ON KNOWLEDGE AND DATA …
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IEEE TRANSACTIONS ON KNOWLEDGE AND DATA …
IEEE TRANSACTIONS ON KNOWLEDGE AND data ENGINEERING1A survey on Accuracy-oriented NeuralRecommendation: From Collaborative Filteringto Information-rich RecommendationLe WuMember, IEEE, Xiangnan HeMember, IEEE, Xiang WangMember, IEEE,Kun ZhangMember, IEEE, and Meng Wang,Fellow, IEEEA bstract Influenced by the great success of deep learning in computer vision and language understanding, research inrecommendation has shifted to inventing new recommender models based on neural networks. In recent years, we have witnessedsignificant progress in developing neural recommender models, which generalize and surpass traditional recommender models owingto the strong representation power of neural networks. In this survey paper, we conduct a systematic review on neural recommendermodels from the perspective of recommendation modeling with the accuracy goal, aiming to summarize this field to facilitateresearchers and practitioners working on recommender systems.
the work that leverages the data of a single domain, leaving out the discussion on cross-domain recommendation [8]. Our goal is to provide a comprehensive survey of the general item recommendation in a single domain, and help young researchers to grasp the main research directions in this field. The organization of this survey is structured as ...
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