DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

Predicting clicks: estimating the click-through rate for new ads

Matthew Richardson, Ewa Dominowska, and Robert Ragno · 2007

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Restricted boltzmann machines for collaborative filtering

Ruslan Salakhutdinov, Andriy Mnih, and Geoffrey E. Hinton · 2007

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Exploring strategies for training deep neural networks

Hugo Larochelle, Yoshua Bengio, Jérôme Louradour, and Pascal Lamblin · 2009

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Training and testing low-degree polynomial data mappings via linear SVM

Yin-Wen Chang, Cho-Jui Hsieh, Kai-Wei Chang, Michael Ringgaard, and Chih-Jen Lin · 2010

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Web-scale bayesian click-through rate prediction for sponsored search advertising in microsoft’s bing search engine

Thore Graepel, Joaquin Quiñonero Candela, Thomas Borchert, and Ralf Herbrich · 2010

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Pairwise interaction tensor factorization for personalized tag recommendation

Steffen Rendle and Lars Schmidt-Thieme · 2010

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Factorization machines

Steffen Rendle · 2010

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Audio chord recognition with recurrent neural networks

Nicolas Boulanger-Lewandowski, Yoshua Bengio, and Pascal Vincent · 2013

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Ad click prediction: a view from the trenches

H. Brendan McMahan, Gary Holt, David Sculley, Michael Young, Dietmar Ebner, Julian Grady, Lan Nie, Todd Phillips, Eugene Davydov, Daniel Golovin, Sharat Chikkerur, Dan Liu, Martin Wattenberg, Arnar Mar Hrafnkelsson, Tom Boulos, and Jeremy Kubica · 2013

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Deep content-based music recommendation

Aäron van den Oord, Sander Dieleman, and Benjamin Schrauwen · 2013

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Practical lessons from predicting clicks on ads at facebook

Xinran He, Junfeng Pan, Ou Jin, Tianbing Xu, Bo Liu, Tao Xu, Yanxin Shi, Antoine Atallah, Ralf Herbrich, Stuart Bowers, and Joaquin Quiñonero Candela · 2014

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Dropout: a simple way to prevent neural networks from overfitting

Nitish Srivastava, Geoffrey E. Hinton, Alex Krizhevsky, Ilya Sutskever, and Ruslan Salakhutdinov · 2014

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Improving content-based and hybrid music recommendation using deep learning

Xinxi Wang and Ye Wang · 2014

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Sequential click prediction for sponsored search with recurrent neural networks

Yuyu Zhang, Hanjun Dai, Chang Xu, Jun Feng, Taifeng Wang, Jiang Bian, Bin Wang, and Tie-Yan Liu · 2014

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A convolutional click prediction model

Qiang Liu, Feng Yu, Shu Wu, and Liang Wang · 2015

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Autorec: Autoencoders meet collaborative filtering

Deep neural networks for youtube recommendations

Paul Covington, Jay Adams, and Emre Sargin · 2016

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Deep residual learning for image recognition

Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016

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Field-aware factorization machines for CTR prediction

Yu-Chin Juan, Yong Zhuang, Wei-Sheng Chin, and Chih-Jen Lin · 2016

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Product-based neural networks for user response prediction

Original

Yanru Qu, Han Cai, Kan Ren, Weinan Zhang, Yong Yu, Ying Wen, and Jun Wang · 2016

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Collaborative denoising auto-encoders for top-n recommender systems

Yao Wu, Christopher DuBois, Alice X. Zheng, and Martin Ester · 2016

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Deep learning over multi-field categorical data - - A case study on user response prediction