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
- 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
- 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
- This project is designed to provide smart sorting service for www.gearbest.com by implementing ESMM deep learning model☆21Updated 5 years ago
- CTR 预估☆10Updated 5 years ago
- 阿里巴巴ESMM模型解读☆35Updated 4 years ago
- 短视频内容理解与推荐竞赛☆82Updated 4 years ago
- paper collection for recommendation aspet☆37Updated 3 years ago
- Multi-task Learning Model for Recommender Systems☆12Updated 3 years ago
- rater, recommender systems. 推荐模型,包括:DeepFM,Wide&Deep,DIN,DeepWalk,Node2Vec等模型实现,开箱即用。☆41Updated 4 years ago
- papers we read about Recommendation Advertising & Search☆30Updated 4 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
- A simple package about multi-task recommendation☆17Updated 3 years ago
- 用户对品类下店铺的购买预测☆26Updated 5 years ago
- 智源研究院-知乎看山杯2019 专家挖掘大赛(20th)☆11Updated last year
- 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
- a solution for 2017 JData competition,rank A: 139/4240,B: 97/4240☆13Updated 7 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
- 推荐系统读书笔记、思维导图等☆39Updated 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
- 蚂蚁金服-用户精确定位比赛☆12Updated 7 years ago
- Machine Learning and Deep Learning☆21Updated 5 years ago
- ICME2019&字节跳动 短视频内容理解与推荐竞赛rank14方案☆54Updated 3 years ago
- GraphSAGE 的 tensorflow2.0 实现☆15Updated 3 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
- The framework to deal with ctr problem。The project contains FNN,PNN,DEEPFM, NFM etc☆18Updated 6 years ago
- C++开发\机器学习\深度学习\推荐算法基础知识及面试题总结☆19Updated 3 years ago
- ☆11Updated 2 years ago