Enhancing social recommendation with adversarial graph convolutional networks

J Yu, H Yin, J Li, M Gao, Z Huang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Social recommender systems are expected to improve recommendation quality by
incorporating social information when there is little user-item interaction data. However …
被引用次数：163 相关文章
[PDF] academia.edu

[PDF][PDF] Enhancing Social Recommendation with Adversarial Graph Convolutional Networks

J Yu, H Yin, J Li, M Gao, Z Huang, L Cui - academia.edu
Social recommender systems are expected to improve recommendation quality by
incorporating social information when there are few purchase data. However, recent reports …

Enhancing Social Recommendation with Adversarial Graph Convolutional Networks

J Yu, H Yin, J Li, M Gao, Z Huang, L Cui - arXiv preprint arXiv:2004.02340, 2020 - arxiv.org
Social recommender systems are expected to improve recommendation quality by
incorporating social information when there is little user-item interaction data. However …

Enhancing Social Recommendation with Adversarial Graph Convolutional Networks

J Yu, H Yin, J Li, M Gao, Z Huang, L Cui - arXiv e-prints, 2020 - ui.adsabs.harvard.edu
Social recommender systems are expected to improve recommendation quality by
incorporating social information when there is little user-item interaction data. However …

Enhancing Social Recommendation With Adversarial Graph Convolutional Networks

J Yu, H Yin, J Li, M Gao, Z Huang, L Cui - IEEE Transactions on …, 2022 - computer.org
Social recommender systems are expected to improve recommendation quality by
incorporating social information when there is little user-item interaction data. However …

[引用][C] Enhance social recommendation with adversarial graph convolutional networks

J Yu, H Yin, J Li, M Gao, Z Huang… - IEEE Transactions on …, 2020 - espace.library.uq.edu.au
Recent reports from industry show that social recommender systems consistently fail in
practice. The failure is attributed to:(1) a majority of users only have a very limited number of …