JeemyJohn / spark-ctr-models
CTR prediction models based on spark(LR,FM、XGBoost、XGBoostLR、XGBoostFM)
☆35Updated 4 years ago
Alternatives and similar repositories for spark-ctr-models:
Users that are interested in spark-ctr-models are comparing it to the libraries listed below
- 2018第二届易观算法大赛☆84Updated 5 years ago
- 2018年腾讯广告算法大赛Rank10代码:深度部分☆68Updated 6 years ago
- Sharing of the second-place solution in Tianchi OGeek competition.☆22Updated 5 months ago
- show how to use tensorflow estimator train and export model, then serving model and call for prediction☆25Updated last year
- 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☆63Updated 7 years ago
- ☆27Updated 7 years ago
- 算法相关的各种论文和slides☆42Updated 6 years ago
- Wide and Deep Learning(Wide&ResDNN) for Kaggle Criteo Dataset in tensorflow☆82Updated 6 years ago
- IJCAI-18 阿里妈妈搜索广告转化预测☆53Updated 7 years ago
- Multi-thread implementation of Factorization Machines with FTRL for multi-class classification problem which uses softmax as hypothesis.☆70Updated 3 years ago
- code exercise: dbscan(ballTree improve) | ctr(ftrl) | text classification(bayes..) | kmeans | general LR |..☆26Updated 9 years ago
- JData算法大赛☆31Updated 7 years ago
- IJCAI-18 阿里妈妈搜索广告转化预测初赛方案☆74Updated 6 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
- Deep Learning Pipelines for Apache Spark☆58Updated 7 years ago
- Jarvis is a toolbox built on top of TensorFlow2.0 that allows developers and researchers to easily build neural networks in TensorFlow, p…☆37Updated 4 years ago
- 推荐系统相关模型 包括召回和排序☆30Updated 5 years ago
- An implementation of GBDT+FM☆24Updated 8 years ago
- 2018-JData-联通-基于移动网络通讯行为的风险用户识别:Baseline 0.77☆21Updated 6 years ago
- ☆14Updated 6 years ago
- ☆12Updated 8 years ago
- 计算广告学习笔记☆24Updated 3 years ago
- 2017CCF大数据与计算智能大赛-蚂蚁金服-商铺定位赛题(全国第5名)☆19Updated 6 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
- 思维误区: 用理想模型来思考复杂现实问题☆38Updated 4 years ago
- ☆15Updated 6 years ago
- code of scattered practices when studying "machine-learning".☆91Updated 5 years ago
- Hybrid model of Gradient Boosting Trees and Logistic Regression (GBDT+LR) on Spark☆88Updated 6 years ago
- 2018中国高校计算机大赛——大数据挑战赛 Rank 20th 代码☆10Updated 6 years ago