Knowledge graph convolutional networks for recommender systems

H Wang, M Zhao, X Xie, W Li, M Guo - The world wide web conference, 2019 - dl.acm.org
To alleviate sparsity and cold start problem of collaborative filtering based recommender
systems, researchers and engineers usually collect attributes of users and items, and design …

[引用][C] Knowledge Graph Convolutional Networks for Recommender Systems

H Wang, M Zhao, X Xie, W Li, M Guo - The World Wide Web Conference, 2019 - cir.nii.ac.jp
Knowledge Graph Convolutional Networks for Recommender Systems | CiNii Research CiNii
国立情報学研究所 学術情報ナビゲータ[サイニィ] 詳細へ移動 検索フォームへ移動 論文・データを …

[PDF][PDF] Knowledge Graph Convolutional Networks for Recommender Systems

H Wang, M Zhao, X Xie, W Li, M Guo - researchgate.net
To alleviate sparsity and cold start problem of collaborative filtering based recommender
systems, researchers and engineers usually collect attributes of users and items, and design …

Knowledge Graph Convolutional Networks for Recommender Systems

H Wang, M Zhao, X Xie, W Li, M Guo - arXiv e-prints, 2019 - ui.adsabs.harvard.edu
To alleviate sparsity and cold start problem of collaborative filtering based recommender
systems, researchers and engineers usually collect attributes of users and items, and design …

Knowledge Graph Convolutional Networks for Recommender Systems

H Wang, M Zhao, X Xie, W Li, M Guo - arXiv preprint arXiv:1904.12575, 2019 - arxiv.org
To alleviate sparsity and cold start problem of collaborative filtering based recommender
systems, researchers and engineers usually collect attributes of users and items, and design …

Knowledge graph convolutional networks for recommender systems

H Wang, M Zhao, X Xie, W Li… - 2019 World Wide Web …, 2019 - research.polyu.edu.hk
To alleviate sparsity and cold start problem of collaborative filtering based recommender
systems, researchers and engineers usually collect attributes of users and items, and design …

[PDF][PDF] Knowledge Graph Convolutional Networks for Recommender Systems

H Wang, M Zhao, X Xie, W Li, M Guo - 2019 - atailab.cn
To alleviate sparsity and cold start problem of collaborative filtering based recommender
systems, researchers and engineers usually collect attributes of users and items, and design …