weiweijiuzaizhe / ctr_pipeline
通过对于现有开源分布式机器学习工具的整合(主要是基于参数服务器的logistic regression,xgboost,FFM,FM ),打造一个工业级的,可以线上使用的点击率预估流水线
☆26Updated 7 years ago
Alternatives and similar repositories for ctr_pipeline:
Users that are interested in ctr_pipeline are comparing it to the libraries listed below
- Using gbdt+lr in recommend system and comparing the auc of lr, gbdt, gbdt+lr.☆24Updated 7 years ago
- use xgboost and lr model for text classification. xgboost is used to be a feature transform for LR☆44Updated 7 years ago
- 科赛 携程出行产品未来14个月销量预测 第2名☆62Updated 7 years ago
- 第一届腾讯社交广告算法大赛☆40Updated 7 years ago
- ☆37Updated 8 years ago
- 京东JData算法大赛Rank37☆48Updated 7 years ago
- 京东JData算法大赛-高潜用户购买意向预测☆22Updated 7 years ago
- kaggle 2014 criteo ctr竞赛方案整理 https://www.kaggle.com/c/criteo-display-ad-challenge☆58Updated 7 years ago
- In online advertising, click-through rate (CTR) is a very important metric for evaluating ad performance. As a result, click prediction s…☆32Updated 5 years ago
- 第一届腾讯社交广告高校算法大赛Tencent_2017_contest☆24Updated 6 years ago
- 2016 ccf 依据用户轨迹的商户精准营销☆18Updated 8 years ago
- IJCAI-18 阿里妈妈搜索广告转化预测☆53Updated 6 years ago
- Wide and Deep Learning(Wide&ResDNN) for Kaggle Criteo Dataset in tensorflow☆82Updated 6 years ago
- 2018年腾讯广告算法大赛Rank10代码：深度部分☆68Updated 6 years ago
- 对逻辑回归各种用法的总结,包括线性,多类,并行,分布式,在线,优化方案☆15Updated 7 years ago
- ☆27Updated 7 years ago
- simple multi-class GBDT☆15Updated 11 years ago
- a solution for 2017 JData competition,rank A: 139/4240，B: 97/4240☆13Updated 7 years ago
- ☆14Updated 6 years ago
- CCF2016 - TNT_000二等奖作品☆87Updated 8 years ago
- 天池菜鸟-需求预测与分仓规划第二赛季代码☆37Updated 7 years ago
- code exercise: dbscan(ballTree improve) | ctr(ftrl) | text classification(bayes..) | kmeans | general LR |..☆26Updated 9 years ago
- spark-simrank scala☆17Updated 8 years ago
- Recommender-In-Detail is a package which offers detailed implementations of state-of-the-art techniques and basic methods in recommendati…☆19Updated 5 years ago
- show how to use tensorflow estimator train and export model, then serving model and call for prediction☆25Updated last year
- An implementation of GBDT+FM☆24Updated 8 years ago
- IJCAI-18 阿里妈妈搜索广告转化预测初赛方案☆73Updated 6 years ago
- Notes on Logistic Regression and OWLQN☆26Updated 7 years ago
- IJCAI2018阿里妈妈搜索广告转化率预估baseline LB 0.0831☆87Updated 6 years ago
- ☆91Updated 7 years ago