crystal-tensor / online-ad-Automatic-adjustmentLinks
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
☆12Updated 5 years ago
Alternatives and similar repositories for online-ad-Automatic-adjustment
Users that are interested in online-ad-Automatic-adjustment are comparing it to the libraries listed below
Sorting:
- 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 4 years ago
- A simple package about multi-task recommendation☆17Updated 4 years ago
- 招商银行2021FinTech精英训练营☆15Updated 4 years ago
- Deep Interest Network for Click-Through Rate Prediction Deep Interest Evolution Network for Click-Through Rate Prediction☆10Updated 4 years ago
- 推荐☆18Updated 5 years ago
- Multi-task Learning Model for Recommender Systems☆14Updated 4 years ago
- 计算广告学习笔记☆24Updated 4 years ago
- This project is designed to provide smart sorting service for www.gearbest.com by implementing ESMM deep learning model☆21Updated 6 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.)☆16Updated last year
- ☆16Updated 4 years ago
- ☆12Updated 4 years ago
- RecommenderSystems: from 0 to practice. 包括推荐系统实践和深度推荐系统两部分☆17Updated 3 years ago
- Repository containing notebooks of my posts on Medium☆9Updated 4 years ago
- ☆15Updated 3 years ago
- Deep Learning Recommender System Study Notes☆13Updated 4 years ago
- Code of ICML-2020 paper Dynamic Knapsack Optimization Towards Efficient Multi-Channel Sequential Advertising☆26Updated 4 years ago
- tensorflow2.0 实现的 DCN (Deep & Cross Network) ，使用 Criteo 子数据集加以实践。☆15Updated 4 years ago
- tensorflow2.0 实现的 DeepFM，使用 Criteo 子数据集加以实践。☆29Updated 4 years ago
- Machine Learning and Deep Learning☆21Updated 5 years ago
- a solution for 2017 JData competition,rank A: 139/4240，B: 97/4240☆13Updated 8 years ago
- 11th solutions for Kaggle - TalkingData Mobile user demographics☆12Updated 8 years ago
- IJCAI-18 阿里妈妈搜索广告转化预测大赛，top50方案☆13Updated 7 years ago
- 该项目主要用来记录一些论文与经典书籍的阅读笔记，主要涵盖机器学习、自然语言处理以及强化学习等领域的经典论文。该项目会持续更新内容，一方面监督自己保持理论知识的沉淀，另一方面也是方便自己平时复习使用。☆25Updated 5 years ago
- 推荐算法专题总结相关代码！☆19Updated 3 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
- 算法工程师方法论-从数学基础到理论应用☆13Updated 5 years ago
- 智源研究院-知乎看山杯2019 专家挖掘大赛（20th）☆11Updated 2 years ago
- 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
- The intuitiveness of the Bayesian A/B testing should make it more ubiquitous in the data realm☆11Updated 4 years ago
- GraphSAGE 的 tensorflow2.0 实现☆15Updated 4 years ago