A neural influence diffusion model for social recommendation

L Wu, P Sun, Y Fu, R Hong, X Wang… - Proceedings of the 42nd …, 2019 - dl.acm.org
Precise user and item embedding learning is the key to building a successful recommender
system. Traditionally, Collaborative Filtering (CF) provides a way to learn user and item …

A Neural Influence Diffusion Model for Social Recommendation

L Wu, P Sun, Y Fu, R Hong, X Wang… - arXiv preprint arXiv …, 2019 - arxiv.org
Precise user and item embedding learning is the key to building a successful recommender
system. Traditionally, Collaborative Filtering (CF) provides a way to learn user and item …

[引用][C] A Neural Influence Diffusion Model for Social Recommendation

PS Le Wu, Y Fu, R Hong, X Wang… - Proceedings of the 42nd …, 2019 - cir.nii.ac.jp
A Neural Influence Diffusion Model for Social Recommendation | 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 …

A Neural Influence Diffusion Model for Social Recommendation

L Wu, P Sun, Y Fu, R Hong, X Wang… - arXiv e-prints, 2019 - ui.adsabs.harvard.edu
Precise user and item embedding learning is the key to building a successful recommender
system. Traditionally, Collaborative Filtering (CF) provides a way to learn user and item …

[PDF][PDF] A Neural Influence Diffusion Model for Social Recommendation

L Wu, P Sun, Y Fu, R Hong, X Wang, M Wang - 2019 - le-wu.com
Precise user and item embedding learning is the key to building a successful recommender
system. Traditionally, Collaborative Filtering (CF) provides a way to learn user and item …

A Neural Influence Diffusion Model for Social Recommendation

L Wu, R Hong, P Sun, X Wang, Y Fu, M Wang - 2019 - scholarsmine.mst.edu
Precise user and item embedding learning is the key to building a successful recommender
system. Traditionally, Collaborative Filtering (CF) provides a way to learn user and item …

[PDF][PDF] A Neural Influence Diffusion Model for Social Recommendation

L Wu, P Sun, Y Fu, R Hong, X Wang, M Wang - 2019 - le-wu.com
Precise user and item embedding learning is the key to building a successful recommender
system. Traditionally, Collaborative Filtering (CF) provides a way to learn user and item …