Learning to Profile
Author:
Affiliation:
1. Rakuten Institute of Technology & Rakuten, Inc., Tokyo, Japan
2. Data Science & AI Department, Rakuten, Inc., Tokyo, Japan
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3340531.3412722
Reference32 articles.
1. Personalized recommendation via cross-domain triadic factorization
2. Machine learning for targeted display advertising: transfer learning in action
3. Improving web search ranking by incorporating user behavior information
4. Yoshua Bengio Aaron Courville and Pascal Vincent. Representation learning: A review and new perspectives. IEEE transactions on pattern analysis and machine intelligence 35(8):1798--1828 2013. Yoshua Bengio Aaron Courville and Pascal Vincent. Representation learning: A review and new perspectives. IEEE transactions on pattern analysis and machine intelligence 35(8):1798--1828 2013.
5. Alec Radford Luke Metz and Soumith Chintala. Unsupervised representation learning with deep convolutional generative adversarial networks. arXiv preprint arXiv:1511.06434 2015. Alec Radford Luke Metz and Soumith Chintala. Unsupervised representation learning with deep convolutional generative adversarial networks. arXiv preprint arXiv:1511.06434 2015.
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1. Field-aware Variational Autoencoders for Billion-scale User Representation Learning;2022 IEEE 38th International Conference on Data Engineering (ICDE);2022-05
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