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Title: GitHub - jack1981/deep-ctr: An attempt of training DNN models to predict ad click-through rate, implemented with Theano.

Open Graph Title: GitHub - jack1981/deep-ctr: An attempt of training DNN models to predict ad click-through rate, implemented with Theano.

X Title: GitHub - jack1981/deep-ctr: An attempt of training DNN models to predict ad click-through rate, implemented with Theano.

Description: An attempt of training DNN models to predict ad click-through rate, implemented with Theano. - jack1981/deep-ctr

Open Graph Description: An attempt of training DNN models to predict ad click-through rate, implemented with Theano. - jack1981/deep-ctr

X Description: An attempt of training DNN models to predict ad click-through rate, implemented with Theano. - jack1981/deep-ctr

Mail addresses
w.zhang@cs.ucl.ac.uk
dutianming@quicloud.cn

Opengraph URL: https://github.com/jack1981/deep-ctr

X: @github

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https://patch-diff.githubusercontent.com/jack1981/deep-ctr#deep-learning-for-ad-ctr-estimation
herehttps://github.com/Atomu2014/product-nets
Product-based Neural Network for User Response Predictionhttps://arxiv.org/abs/1611.00144
Deep Learning over Multi-field Categorical Data – A Case Study on User Response Predictionhttp://www0.cs.ucl.ac.uk/staff/w.zhang/rtb-papers/deep-ctr.pdf
Weinan Zhanghttp://www0.cs.ucl.ac.uk/staff/w.zhang/
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iPinYou data formalizing repositoryhttps://github.com/wnzhang/make-ipinyou-data
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