• Corpus ID: 241033199

GRCN: Graph-Refined Convolutional Network for Multimedia Recommendation with Implicit Feedback

@inproceedings{Yinwei2021GRCNGC,
  title={GRCN: Graph-Refined Convolutional Network for Multimedia Recommendation with Implicit Feedback},
  author={Wei Yinwei and Wang Xiang and Nie Liqiang and He Xiangnan and Chua Tat-Seng},
  year={2021}
}
Reorganizing implicit feedback of users as a user-item interaction graph facilitates the applications of graph convolutional networks (GCNs) in recommendation tasks. In the interaction graph, edges between user and item nodes function as the main element of GCNs to perform information propagation and generate informative representations. Nevertheless, an underlying challenge lies in the quality of interaction graph, since observed interactions with lessinterested items occur in implicit… 

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