weiweijiuzaizhe / ctr_pipelineLinks
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 8 years ago
Alternatives and similar repositories for ctr_pipeline
Users that are interested in ctr_pipeline are comparing it to the libraries listed below
Sorting:
- 主要解决ctr预估工程中的特征选择，特征编号(特征离散),单特征auc和logloss这3个问题.☆20Updated 8 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
- 1st Place Season one & 6th Place Season two☆151Updated 8 years ago
- Using gbdt+lr in recommend system and comparing the auc of lr, gbdt, gbdt+lr.☆24Updated 8 years ago
- gdbt implement by scikit-learn☆25Updated 8 years ago
- 用户预订售卖房型概率预测--top1☆142Updated 8 years ago
- 2017第一届腾讯社交广告高校算法大赛Rank28_code☆85Updated 8 years ago
- 科赛 携程出行产品未来14个月销量预测 第2名☆62Updated 8 years ago
- Tensorflow2.x implementations of CTR（LR、FM、FFM)☆72Updated 4 years ago
- 第一届腾讯社交广告算法大赛☆40Updated 8 years ago
- ☆27Updated 8 years ago
- Tencent Social Ads 2017 contest rank 20☆158Updated 8 years ago
- 京东JData算法大赛Rank37☆48Updated 8 years ago
- 跟踪计算广告涉及的召回排序模型、特征工程相关的经典论文☆82Updated 5 years ago
- 1st Place Solution for DataCastle-CashBus Competition☆216Updated 9 years ago
- Hybrid model of Gradient Boosting Trees and Logistic Regression (GBDT+LR) on Spark☆88Updated 6 years ago
- 基于深度学习的CTR预估，从FM推演各深度学习CTR预估模型（附代码）☆208Updated 7 years ago
- 2018年腾讯广告算法大赛Rank10代码：深度部分☆68Updated 7 years ago
- CCF_大数据精准营销中搜狗用户画像挖掘☆17Updated 8 years ago
- 第一届腾讯社交广告高校算法大赛Tencent_2017_contest☆24Updated 7 years ago
- CCF2016 - TNT_000二等奖作品☆87Updated 8 years ago
- implement fm demo with python☆51Updated 6 years ago
- 国内首个迁移学习赛题 中国平安前海征信“好信杯”迁移学习大数据算法大赛 FInSight团队作品(算法方案排名第三)☆87Updated 7 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 8 years ago
- use xgboost and lr model for text classification. xgboost is used to be a feature transform for LR☆44Updated 8 years ago
- News recommendation system based on spark.☆49Updated 8 years ago
- 京东借贷需求预测☆76Updated 7 years ago
- An implementation of GBDT+FM☆24Updated 8 years ago
- 京东JData大数据比赛第13名的user模型☆70Updated 8 years ago
- code of scattered practices when studying "machine-learning".☆92Updated 5 years ago