- 计算广告：互联网商业变现的市场与技术，刘鹏，王超著
- 计算广告领域的Paper List: https://github.com/wnzhang/rtb-papers/
- 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
- Practical Lessons from Predicting Clicks on Ads at Facebook
- [Greedy function approximation:a gradient boosting machine]
- Ad Click Prediction: a View from the Trenches
- [Factorization Machines]
- [An Empirical Evaluation of Thompson Sampling]
- [Content-based Recommendation Systems]
- [Click-Through Rate Estimation for Rare Events in Online Advertising]
- [Wide & Deep Learning for Recommender System]
- [Deep Neural Networks for YouTube Recommendations]
- [Predictive Model Performance: Offline and Online Evaluations]
- Personalized Click Prediction in Sponsored Search
- Google在CTR预估领域的工程实践经验 Ad Click Prediction: A View From the Trenches
- Google的Wide&Deep Wide & Deep Learning for Recommender Systems
- InfoQ：从逻辑回归到深度学习，点击率预测技术面面观 https://www.infoq.cn/article/click-through-rate-prediction
- Collaborative Filtering: http://kubicode.me/2019/01/16/Deep%20Learning/Collaborative-Filtering-Meet-to-Deep-Learning/#more
- Ad Click Prediction: a View from the Trenches笔记https://blog.csdn.net/fangqingan_java/article/details/51020653
- 知乎：广告ctr预估有什么值得推荐的论文？https://www.zhihu.com/question/26154847
- 知乎：主流CTR预估模型的演化及对比 https://zhuanlan.zhihu.com/p/35465875
- Github上关于计算广告的整理
- 代码实现
- LR, GBDT，RF，NN，PNN等几种CTR预估模型的spark实现 https://github.com/wzhe06/CTRmodel
- 可以直接使用的Deep CTR模型：DeepFM, DIN, DIEN, DCN, AFM, NFM, AutoInt, DSIN https://github.com/shenweichen/DeepCTR