Cross-domain recommendation of overlapping users based on self-attention graph convolution network

Author:

Xing Xing1,Wang Shiqi1,Liu Jiawen1,Li Yunxi1,Jia Zhichun1

Affiliation:

1. Bohai University,College of Information Science and Technology,Jinzhou,China,121013

Funder

National Natural Science Foundation of China

Publisher

IEEE

Reference21 articles.

1. Semi-Supervised Learning for Cross-Domain Rec-ommendation to Cold-Start Users;kang;28th ACM International Conference ACM,2019

2. Cross-Domain Recommendation: An Embedding and Mapping Approach;tong;Twenty-Sixth International Joint Conference on Artificial Intelligence,2017

3. Deeply Fusing Reviews and Contents for Cold Start Users in Cross-Domain Recommendation Systems

4. Towards Open-World Recommendation: An Inductive Model-based Collaborative Filtering Approach;wu;International Conference on Machine Learning,2021

5. Neural Collaborative Filtering

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