"Recommendation"의 두 판 사이의 차이
ph
잔글 |
잔글 |
||
| 10번째 줄: | 10번째 줄: | ||
* [[Structured Deep Factorization Machine : Towards General-Purpose Architectures]] | * [[Structured Deep Factorization Machine : Towards General-Purpose Architectures]] | ||
* [[Product-based neural networks for user response prediction]] <br>Qu, Yanru, et al. "Product-based neural networks for user response prediction." Data Mining (ICDM), 2016 IEEE 16th International Conference on. IEEE, 2016. | * [[Product-based neural networks for user response prediction]] <br>Qu, Yanru, et al. "Product-based neural networks for user response prediction." Data Mining (ICDM), 2016 IEEE 16th International Conference on. IEEE, 2016. | ||
| − | * [[Neural Factorization Machines for Sparse Predictive Analytics]] | + | * [[Neural Factorization Machines for Sparse Predictive Analytics]] X He, TS Chua. 2017 |
| − | X He, TS Chua. 2017 | ||
==etc== | ==etc== | ||
* [[latent factor models for CF]] | * [[latent factor models for CF]] | ||
2018년 8월 29일 (수) 16:18 기준 최신판
papers
- R. Salakhutdinov, A. Mnih, and G. E. Hinton. Restricted boltzmann machines for collaborative filtering. 2007
- Y. Hu, Y. Koren, and C. Volinsky. Collaborative filtering for implicit feedback datasets. 2008 (Cited by 1000+)
- Wang, Chong, and David M. Blei. Collaborative Topic Modeling for Recommending Scientific Articles. 2011 (Cited by 600+)
- Wang, Hao, Naiyan Wang, and Dit-Yan Yeung. Collaborative Deep Learning for Recommender Systems. 2015 (Cited by 120+) and my practice
- Oleksii Kuchaiev, Boris Ginsburg. Training Deep AutoEncoders for Collaborative Filtering arXiv:1708.01715v2 [1]
- Ruoxi Wang, Bin Fu, Gang Fu, Mingliang Wang. Deep & Cross Network for Ad Click Predictions arXiv:1708.05123
- Rendle, Steffen. "Factorization machines." Data Mining (ICDM), 2010 IEEE 10th International Conference on. IEEE, 2010.
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- Structured Deep Factorization Machine : Towards General-Purpose Architectures
- Product-based neural networks for user response prediction
Qu, Yanru, et al. "Product-based neural networks for user response prediction." Data Mining (ICDM), 2016 IEEE 16th International Conference on. IEEE, 2016. - Neural Factorization Machines for Sparse Predictive Analytics X He, TS Chua. 2017
etc
links
* http://www.netflixprize.com dead link
- ↑ 이 논문에 글꼴 마음에 들어서 찾아보니 serif는 http://www.dafont.com/linux-libertine.font , sans-serif는 http://www.dafont.com/linux-biolinum.font