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@@ 10번째 줄: / 10번째 줄: @@
 * [[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.
-* [[Neural Factorization Machines for Sparse Predictive Analytics]]
+* [[Neural Factorization Machines for Sparse Predictive Analytics]]  X He, TS Chua. 2017
 ==etc==
 * [[latent factor models for CF]]

@@ 10번째 줄: / 10번째 줄: @@
 * [[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.
+* [[Neural Factorization Machines for Sparse Predictive Analytics]]
 ==etc==
 * [[latent factor models for CF]]

@@ 8번째 줄: / 8번째 줄: @@
 * Rendle, Steffen. "[[Factorization machines]]." Data Mining (ICDM), 2010 IEEE 10th International Conference on. IEEE, 2010.
 * ――――――――――――――――――――――――――――――――――――――――――――――
 * [[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.

@@ 8번째 줄: / 8번째 줄: @@
 * Rendle, Steffen. "[[Factorization machines]]." Data Mining (ICDM), 2010 IEEE 10th International Conference on. IEEE, 2010.
 * ――――――――――――――――――――――――――――――――――――――――――――――
 * Zeldes, Yoel, et al. "[[Deep density networks and uncertainty in recommender systems]]." arXiv preprint arXiv:1711.02487 (2017).
 * [[Structured Deep Factorization Machine : Towards General-Purpose Architectures]]

@@ 11번째 줄: / 11번째 줄: @@
 * Zeldes, Yoel, et al. "[[Deep density networks and uncertainty in recommender systems]]." arXiv preprint arXiv:1711.02487 (2017).
 * [[Structured Deep Factorization Machine : Towards General-Purpose Architectures]]
-* [[Product-based neural networks for user response prediction]]
+* [[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.
 ==etc==

@@ 9번째 줄: / 9번째 줄: @@
 * ――――――――――――――――――――――――――――――――――――――――――――――
 * Chen, Junxuan, et al. "[[Deep ctr prediction in display advertising]]." Proceedings of the 2016 ACM on Multimedia Conference. ACM, 2016.
 ==etc==

@@ 6번째 줄: / 6번째 줄: @@
 * Oleksii Kuchaiev, Boris Ginsburg. [[Training Deep AutoEncoders for Collaborative Filtering]] [https://arxiv.org/abs/1708.01715v2 arXiv:1708.01715v2] <ref>이 논문에 글꼴 마음에 들어서 찾아보니 serif는 http://www.dafont.com/linux-libertine.font , sans-serif는 http://www.dafont.com/linux-biolinum.font</ref>
 * Ruoxi Wang, Bin Fu, Gang Fu, Mingliang Wang. [[Deep & Cross Network for Ad Click Predictions]] [https://arxiv.org/abs/1708.05123 arXiv:1708.05123]
+* Rendle, Steffen. "[[Factorization machines]]." Data Mining (ICDM), 2010 IEEE 10th International Conference on. IEEE, 2010.
 ==etc==
 * [[latent factor models for CF]]