Improving knowledge-aware recommendation with multi-level interactive contrastive learning

Incorporating Knowledge Graphs (KG) into recommeder system as side information has attracted considerable attention. Recently, the technical trend of Knowledge-aware Recommendation (KGR) is to develop end-to-end models based on graph neural networks (GNNs). However, the extremely sparse user-item in...

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Main Authors: ZOU, Ding, WEI, Wei, WANG, Ziyang, MAO, Xian-Ling, ZHU, Feida, FANG, Rui, CHEN, Dangyang
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2022
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Online Access:https://ink.library.smu.edu.sg/sis_research/7751
https://ink.library.smu.edu.sg/context/sis_research/article/8754/viewcontent/improving.pdf
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Institution: Singapore Management University
Language: English
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