Recommendation

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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Chen, Junxuan, et al. "Deep ctr prediction in display advertising." Proceedings of the 2016 ACM on Multimedia Conference. ACM, 2016.
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
Qu, Yanru, et al. "Product-based neural networks for user response prediction." Data Mining (ICDM), 2016 IEEE 16th International Conference on. IEEE, 2016.