Computational Advertising Architect
Deep Learning CTR Prediction
[AFM] Attentional Factorization Machines - Learning the Weight of Feature Interactions via Attention Networks (ZJU 2017).pdf
[DCN] Deep & Cross Network for Ad Click Predictions (Stanford 2017).pdf
[DIEN] Deep Interest Evolution Network for Click-Through Rate Prediction (Alibaba 2019).pdf
[DIN] Deep Interest Network for Click-Through Rate Prediction (Alibaba 2018).pdf
[DSSM] Learning Deep Structured Semantic Models for Web Search using Clickthrough Data (UIUC 2013).pdf
[Deep Crossing] Deep Crossing - Web-Scale Modeling without Manually Crafted Combinatorial Features (Microsoft 2016).pdf
[DeepFM] A Factorization-Machine based Neural Network for CTR Prediction (HIT-Huawei 2017).pdf
[ESMM] Entire Space Multi-Task Model - An Effective Approach for Estimating Post-Click Conversion Rate (Alibaba 2018).pdf
[FNN] Deep Learning over Multi-field Categorical Data (UCL 2016).pdf
[Image CTR] Image Matters - Visually modeling user behaviors using Advanced Model Server (Alibaba 2018).pdf
[NFM] Neural Factorization Machines for Sparse Predictive Analytics (NUS 2017).pdf
[PNN] Product-based Neural Networks for User Response Prediction (SJTU 2016).pdf
[Wide & Deep] Wide & Deep Learning for Recommender Systems (Google 2016).pdf
[xDeepFM] xDeepFM - Combining Explicit and Implicit Feature Interactions for Recommender Systems (USTC 2018).pdf
Exploration and Exploitation
Machine Learning Tutorial
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