计算广告干货整理

  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

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