Transcription of IEEE TRANSACTIONS ON KNOWLEDGE AND DATA …
{{id}} {{{paragraph}}}
Example: barber
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.
for representation learning, as well as the representation modeling techniques given the input data. We divide this section into three categories: history behavior aggregation enhanced models, autoencoder based models, and graph learning approaches. For ease of explanation, we list the typical representation learning models in Table 1.
Loading..
Tags:
Information
Domain:
Source:
Link to this page:
Please notify us if you found a problem with this document: