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Readme

计算广告论文、学习资料、业界分享

动态更新工作中实现或者阅读过的计算广告相关论文、学习资料和业界分享,作为自己工作的总结,也希望能为计算广告相关行业的同学带来便利。 所有资料均来自于互联网,如有侵权,请联系王喆。同时欢迎对计算广告感兴趣的同学与我讨论相关问题,我的联系方式如下:

会不断加入一些重要的计算广告相关论文和资料,并去掉一些过时的或者跟计算广告不太相关的论文

其他相关资源

目录

Optimization Method

Online Optimization,Parallel SGD,FTRL等优化方法,实用并且能够给出直观解释的文章

Topic Model

话题模型相关文章,PLSA,LDA,进行广告Context特征提取,创意优化经常会用到Topic Model

Google Three Papers

Google三大篇,HDFS,MapReduce,BigTable,奠定大数据基础架构的三篇文章,任何从事大数据行业的工程师都应该了解

Factorization Machines

FM因子分解机模型的相关paper,在计算广告领域非常实用的模型

Embedding

Budget Control

广告系统中Pacing,预算控制,以及怎么把预算控制与其他模块相结合的问题

Tree Model

树模型和基于树模型的boosting模型,树模型的效果在大部分问题上非常好,在CTR,CVR预估及特征工程方面的应用非常广

Guaranteed Contracts Ads

事实上,现在很多大的媒体主仍是合约广告系统,合约广告系统的在线分配,Yield Optimization,以及定价问题都是非常重要且有挑战性的问题

Classic CTR Prediction

Bidding Strategy

计算广告中广告定价,RTB过程中广告出价策略的相关问题

Computational Advertising Architect

广告系统的架构问题

Machine Learning Tutorial

机器学习方面一些非常实用的学习资料

Transfer Learning

迁移学习相关文章,计算广告中经常遇到新广告冷启动的问题,利用迁移学习能较好解决该问题

Deep Learning CTR Prediction

Exploration and Exploitation

探索和利用,计算广告中非常经典,也是容易被大家忽视的问题,其实所有的广告系统都面临如何解决新广告主冷启动,以及在效果不好的情况下如何探索新的优质流量的问题,希望该目录下的几篇文章能够帮助到你

Allocation

广告流量的分配问题

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