计算广告干货整理

序

　　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

• (OWL-QN)Scalable Training of L1-Regularized Log-Linear Models

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

• Ad Click Prediction a View from the Trenches

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

• Display Advertising Challenge
• Click-Through Rate Prediction

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

4.code

• FM
• FFM
• kaggle-2014-criteo

5.video

• Gradient Boosted Decision Trees on Hadoop
• 面向广告主推荐
• 刘鹏老师-计算广告学-网易云课堂
• 有许多比较好的论文出现。在线视频课程地址：http://videolectures.net/kdd09_chakrabarti_agarwal_scca/。Yahoo在研究的论文发表方面显得非常的积极，其他，如Google、Microsoft等就...
  

Classes：

1、Stanford课程，可以说是最早设立计算广告学课程的学校。PDF文件地址：http://www.stanford.edu/class/msande239/

Book（Representative）：

1、Recommender systems handbook，iask共享地址：http://ishare.iask.sina.com.cn/f/19991234.html

2、Personalization Techniques and Recommender Systems，iask共享地址：http://ishare.iask.sina.com.cn/f/14880056.html