Graph-enhanced Knowledge Transfer Learning for Fashion Sequential Recommendation
Author:
Affiliation:
1. University of Electronic Science and Technology of China,Shenzhen Institute for Advanced Study,Shenzhen,China,518110
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10649807/10649898/10650247.pdf?arnumber=10650247
Reference27 articles.
1. Modeling Instant User Intent and Content-level Transition for Sequential Fashion Recommendation
2. Personalized Fashion Sequential Recommendation with Visual Feature Based on Conditional Hierarchical VAE
3. Session-based recommendations with recurrent neural networks;Hidasi,2015
4. Parallel Recurrent Neural Network Architectures for Feature-rich Session-based Recommendations
5. Long short-term enhanced memory for sequential recommendation
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