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1 Online Display Advertising Markets  A Literature Review and Future Directions.pdf

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2 A Survey on Real Time Bidding Advertising .pdf

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3 Revenue Models for Demand Side Platforms in Real Time Bidding Advertising.pdf

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4 Class Imbalance Problem.pdf

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4 Encyclopedia of Machine Learning adn Data Mining.pdf

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5 High dimensionality; The latest challenge to data analysis.pdf

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6 Facing the cold start problem in recommender systems.pdf

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7 Solving the ColdStart Problem in Recommender Systems with Social Tags.pdf

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8 A Training Algorithm for Optimal Margin Classifiers.pdf

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9 Learning Piecewise Linear Models from Large Scale Data for Ad Click Prediction.pdf

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10 GradientBased Learning Applied to Document Recognition.pdf

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11 A limited memory BFGStype method for largescale unconstrained optimization.pdf

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12 WebScale Bayesian CTR Prediction for Sponsored Search Advertising in Microsoft's Bing Search Engine.pdf

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13 Factorization Machines.pdf

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14 Fieldaware Factorization Machines for CTR Prediction.pdf

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15 Field Aware Factorization Machines in a Realworld Online Advertising System.pdf

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16 Fieldweighted Factorization Machines for ClickThrough Rate Prediction in Display Advertising.pdf

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17 Bayesian Factorization Machines.pdf

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18 Sparse Factorization Machines for Clickthrough Rate Prediction.pdf

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19 Attentional Factorization Machines; Learning the Weight of Feature Interactions via Attention Networks.pdf

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20 Dropout; A Simple Way to Prevent Neural Networks from Overfitting.pdf

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22 Deep Learning based Recommender System A Survey and new prespectives.pdf

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23 Deep CTR Prediction in Display Advertising.pdf

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24 Deep Residual Learning for Image Recognition.pdf

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25 Rectifed linear units improve restricted Boltzmann Machines.pdf

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26 Entity Embeddings of Categorical Variables.pdf

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27 Batch Normalization; Accelerating Deep Network Training by Reducing Internal Covariate Shift.pdf

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28 DeepFM; A FactorizationMachine based Neural Network for CTR Prediction.pdf

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29 DeepFM; An EndtoEnd Wide & Deep Learning Framework for CTR Prediction.pdf

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30 Wide & Deep Learning for Recommender Systems.pdf

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31 A New Approach for Advertising CTR Prediction Based on Deep Neural Network via Attention Mechanism.pdf

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32 Modular Learning in Neural Networks.pdf

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33 The Mathematical Theory of Communication.pdf

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34 On the Dimensionality of Embeddings for Sparse Features and Data.pdf

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35 Mixed Dimension Embeddings with Application to MemoryEfficient Recommendation Systems.pdf

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36 Neural Collaborative Filtering.pdf

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37 Rectifier Nonlinearities Improve Neural Network Acoustic Models.pdf

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38 Visualizing Data using tSNE.pdf

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