crystal-tensor / online-ad-Automatic-adjustment
在线广告自动调价算法：包括：Bid的自动出价算法 2：Weight的自动调优算法
☆11Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for online-ad-Automatic-adjustment
- Deep Interest Network for Click-Through Rate Prediction Deep Interest Evolution Network for Click-Through Rate Prediction☆10Updated 4 years ago
- A Distribution-Free Test of Independence Based on Mean Variance Index.☆24Updated 5 months ago
- 计算广告召回&模型&创意算法(A collection of research and application papers about Match, Ranking, Targeting and Creatives in Internet advertising.)☆15Updated 9 months ago
- 基于wide deep模型的CTR预估，从训练到 部署☆15Updated 5 years ago
- CTR 预估☆10Updated 5 years ago
- This project is designed to provide smart sorting service for www.gearbest.com by implementing ESMM deep learning model☆21Updated 5 years ago
- 基于科大讯飞AI营销算法比赛实现CTR深度学习方法☆45Updated 5 years ago
- 京东ＪＤＤ大数据比赛解决方案(baseline)☆20Updated 6 years ago
- Deep-learning based CTR models implemented with tensorflow2.0. / 使用tensorflow2.0实现的一些基于深度学习的CTR模型☆10Updated 3 years ago
- The framework to deal with ctr problem。The project contains FNN,PNN,DEEPFM, NFM etc☆18Updated 6 years ago
- tensorflow2.0 实现的 DeepFM，使用 Criteo 子数据集加以实践。☆29Updated 4 years ago
- 京东杯 2019 第六届泰达创新创业挑战赛-用户对品类下店铺购买预测_季军方案☆17Updated 5 years ago
- 京东JDATA2019-用户对品类下店铺的购买预测☆17Updated 5 years ago
- Code of ICML-2020 paper Dynamic Knapsack Optimization Towards Efficient Multi-Channel Sequential Advertising☆27Updated 4 years ago
- a solution for 2017 JData competition,rank A: 139/4240，B: 97/4240☆13Updated 7 years ago
- CIKM 2019 EComm AI：用户行为预测数据挖掘竞赛，第一次做推荐系统相关的比赛，犯了很多错误，没有进复赛☆12Updated last year
- 华为_DigiX_算法精英大赛——人口年龄属性预测_ Rank14 方案☆31Updated 5 years ago
- ctr、cvr预估☆49Updated 3 years ago
- IJCAI-18 阿里妈妈搜索广告转化预测大赛，top50方案☆12Updated 6 years ago
- Machine Learning and Deep Learning☆21Updated 5 years ago
- 短视频内容理解与推荐竞赛☆82Updated 4 years ago
- Library for lagged conversion rate estimation. Based on the paper "Modeling Delayed Feedback in Display Advertising", Chapelle, 2014.☆13Updated 5 years ago
- A training and testing framework supporting experiments in CIKM 2016 paper "User Response Learning for Directly Optimizing Campaign Perfo…☆25Updated 6 years ago
- 用户对品类下店铺的购买预测☆26Updated 5 years ago
- Multi-task Learning Model for Recommender Systems☆12Updated 3 years ago
- AlitaNet: A click through rate (ctr) prediction deep learning Network implementation with TensorFlow, including LR, FM, AFM, Wide&Deep, D…☆14Updated 5 years ago
- A simple package about multi-task recommendation☆17Updated 3 years ago
- wide deep ctr model by pytorch☆25Updated 5 years ago