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本文旨在整理、分享计算广告领域的一些干货，包括paper、dataset、slide、code、video（侵删），如果看到本文的你有什么好的干货可以留言给我，持续更新，欢迎学习交流！
1.Paper
2007
2010
- (FTRL)Follow-the-Regularized-Leader and Mirror Descent Equivalence Theorems and L1 Regularization
- Parallelized Stochastic Gradient Descent
- Factorization Machines
- Factorization Machines with libFM
- Predicting Clicks Estimating the Click-Through Rate for New Ads
- Web-Scale Bayesian Click-Through Rate Prediction for Sponsored Search Advertising in Microsoft’s Bing Search Engine
2011
- Bid Landscape Forecasting in Online Ad Exchange Marketplace
- Click-Through Rate Estimation for Rare Events in Online Advertising
2012
- Ensemble of Collaborative Filtering and Feature Engineered Models for Click Through Rate Prediction
- Estimating Conversion Rate in Display Advertising from Past Performance Data
- Evaluating and Optimizing Online Advertising Forget the click, but there are good proxies
- Handling Forecast Errors While Bidding for Display Advertising
- Post-Click Conversion Modeling and Analysis for Non-Guaranteed Delivery Display Advertising
2013
2014
- A Dynamic Pricing Model for Unifying Programmatic Guarantee and Real-Time Bidding in Display Advertising
- An Empirical Study of Reserve Price Optimisation in Real-Time Bidding
- Coupled Group Lasso for Web-Scale CTR Prediction in Display Advertising
- Field-aware Factorization Machines
- Machine learning for targeted display advertising Transfer learning in action
- Modeling Delayed Feedback in Display Advertising
- Practical Lessons from Predicting Clicks on Ads at Facebook
- Predicting Response in Mobile Advertising with Hierarchical Importance-Aware Factorization Machine
- Scalable Hands-Free Transfer Learning for Online Advertising
2015
- A Convolutional Click Prediction Model
- Cost-sensitive Learning for Utility Optimization in Online Advertising Auctions
- Factorization Machines with Follow-The-Regularized-Leader for CTR prediction in Display Advertising
- Offline Evaluation of Response Prediction in Online Advertising Auctions
- Predicting Winning Price in Real Time Bidding with Censored Data
2016
- Audience Expansion for Online Social Network Advertising
- Bid-aware Gradient Descent for Unbiased Learning
- Deep CTR Prediction in Display Advertising
- Deep Learning over Multi-field Categorical Data – A Case Study on User Response Prediction
- Field-aware Factorization Machines for CTR Prediction
- Focused Matrix Factorization For Audience Selection in Display Advertising
- Functional Bid Landscape Forecasting for Display Advertising
- Implicit Look-Alike Modelling in Display Ads Transfer Collaborative Filtering to CTR Estimation
- Optimal Reserve Prices in Upstream Auctions Empirical Application on Online Video Advertising
- Pleasing the advertising oracle Probabilistic prediction from sampled, aggregated ground truth
- Predicting ad click-through rates via feature-based fully coupled
- User Response Learning for Directly Optimizing Campaign Performance in Display Advertising
2.kaggle-dataset
3.slide
- 面向广告主的推荐_阿里技术沙龙_2.2
- 蒋龙-阿里广告
- M6D的DSP基础算法与模型研究-江申-力美
- m6d_targeting_model
- DSP中的算法初探1.5_DataScience_Workshop_Beijing2013_江申_力美
- jerryye-cross device ad
- Approach for
Display Advertising Challenge