Ripplenet: Propagating user preferences on the knowledge graph for recommender systems

H Wang, F Zhang, J Wang, M Zhao, W Li… - Proceedings of the 27th …, 2018 - dl.acm.org
To address the sparsity and cold start problem of collaborative filtering, researchers usually
make use of side information, such as social networks or item attributes, to improve …
被引用次数：1169 相关文章

RippleNet: Propagating User Preferences on the Knowledge Graph for Recommender Systems

H Wang, F Zhang, J Wang, M Zhao, W Li, X Xie… - arXiv preprint arXiv …, 2018 - arxiv.org
To address the sparsity and cold start problem of collaborative filtering, researchers usually
make use of side information, such as social networks or item attributes, to improve …

RippleNet: Propagating User Preferences on the Knowledge Graph for Recommender Systems

H Wang, F Zhang, J Wang, M Zhao, W Li, X Xie… - arXiv e …, 2018 - ui.adsabs.harvard.edu
To address the sparsity and cold start problem of collaborative filtering, researchers usually
make use of side information, such as social networks or item attributes, to improve …

[引用][C] RippleNet

H Wang, F Zhang, J Wang, M Zhao, W Li… - Proceedings of the 27th …, 2018 - cir.nii.ac.jp
RippleNet | 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・データをさがす 大学図書館の本をさがす 日本の博士論文をさがす English …
[PDF] researchgate.net

[PDF][PDF] RippleNet: Propagating User Preferences on the Knowledge Graph for Recommender Systems

H Wang, F Zhang, J Wang, M Zhao, W Li, X Xie, M Guo - 2018 - researchgate.net
To address the sparsity and cold start problem of collaborative filtering, researchers usually
make use of side information, such as social networks or item attributes, to improve …
[PDF] academia.edu

[PDF][PDF] RippleNet: Propagating User Preferences on the Knowledge Graph for Recommender Systems

H Wang, F Zhang, J Wang, M Zhao, W Li, X Xie, M Guo - 2018 - academia.edu
To address the sparsity and cold start problem of collaborative filtering, researchers usually
make use of side information, such as social networks or item attributes, to improve …

RippleNet: Propagating user preferences on the knowledge graph for recommender systems

H Wang, F Zhang, J Wang, M Zhao… - … on Information and …, 2018 - research.polyu.edu.hk
To address the sparsity and cold start problem of collaborative filtering, researchers usually
make use of side information, such as social networks or item attributes, to improve …
[PDF] researchgate.net

[PDF][PDF] RippleNet: Propagating User Preferences on the Knowledge Graph for Recommender Systems

H Wang, F Zhang, J Wang, M Zhao, W Li, X Xie, M Guo - 2018 - researchgate.net
To address the sparsity and cold start problem of collaborative filtering, researchers usually
make use of side information, such as social networks or item attributes, to improve …