huangsg1 / Internet-advertising-mechanism-and-strategy
计算广告机制策略相关材料整理(A collection of research and application papers about Strategy in Internet advertising.)
☆143Updated 9 months ago
Related projects ⓘ
Alternatives and complementary repositories for Internet-advertising-mechanism-and-strategy
- Implementation of CAN: Revisiting Feature Co-Action for Click-Through RatePrediction☆210Updated 3 years ago
- 《互联网大厂推荐算法实战》资料库☆217Updated last year
- A collection of research and application papers of (uncertainty) calibration techniques.☆307Updated 10 months ago
- Sharing the CTR Prediction original paper and personal study notes☆144Updated 4 years ago
- ☆284Updated 5 years ago
- some useful papers and blogs for people who are interested in online advertising☆65Updated 2 years ago
- Classical RecSys algorithms implemented by using TensorFlow Estimators☆183Updated 6 years ago
- Deep Match to Rank Model for Personalized Click-Through Rate Prediction☆234Updated 4 years ago
- CTR模型代码和学习笔记总结☆377Updated 3 years ago
- ☆171Updated 4 years ago
- TensorFlow implementation of Adaptive Information Transfer Multi-task (AITM) framework. Code for the paper accepted by KDD21: Modeling th…☆110Updated last year
- 主流推荐系统Rank算法的实现☆192Updated last year
- ☆213Updated 4 years ago
- ☆388Updated 2 years ago
- AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction☆183Updated 2 years ago
- Source code and dataset for KDD 2020 paper "Controllable Multi-Interest Framework for Recommendation"☆281Updated 3 years ago
- Implementation and experimental comparison of ES-DFM (Yang et al. 2021), Delayed feedback model(DFM, Chapelle 2014), Feedback Shift Impor…☆75Updated last year
- ☆194Updated 4 years ago
- 存放推荐算法相关代码、文档、资料☆226Updated 3 years ago
- 推荐系统/计算广告相关仓库，个人博客https://jesse-csj.github.io/☆284Updated 3 years ago
- Code for the IJCAI'19 paper "Deep Session Interest Network for Click-Through Rate Prediction"☆435Updated last year
- MiNet: Mixed Interest Network for Cross-Domain Click-Through Rate Prediction☆77Updated 3 years ago
- Implement Wide & Deep algorithm by using NumPy☆150Updated 5 years ago
- report reading paper list☆92Updated 5 years ago
- Sequential deep matching model for recommender system at Alibaba☆202Updated 4 years ago
- Codes for our SIGIR-2019 paper "Warm Up Cold-start Advertisements: Improving CTR Predictions via Learning to Learn ID Embeddings"☆97Updated 4 years ago
- Deep Multifaceted Transformers for Multi-objective Ranking in Large-Scale E-commerce Recommender Systems, CIKM 2020☆109Updated 3 years ago
- esmm model by tensorflow keras☆64Updated 3 years ago
- Deep Feedback Network for Recommendation☆93Updated 4 years ago
- ☆27Updated 3 years ago