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.
the past interaction sequence. The context-aware models make predictions based on the context data. Due to page limits, we focus on temporal information, which is one of the most common contextual data. Finally, we conclude the survey and propose some promising future directions. 2 COLLABORATIVE FILTERING MODELS
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