Sherryuu / CTR-of-deep-learningLinks
A tensorflow implementation of a series of deep learning methods to predict CTR, including FM, FNN, NFM, Attention-based NFM, Attention-based MLP, inner-PNN, out-PNN, CCPM.
☆11Updated 6 years ago
Alternatives and similar repositories for CTR-of-deep-learning
Users that are interested in CTR-of-deep-learning are comparing it to the libraries listed below
Sorting:
- 深度矩阵分解模型 与 带注意力的深度矩阵分解模型☆10Updated 7 years ago
- re-implementation of ConvMF (RecSys'16) in TensorFlow with even better performance☆10Updated 5 years ago
- LR, Wide&Deep, DCN, NFM, DeepFM, NFFM☆116Updated 6 years ago
- gbdt+lr☆158Updated 6 years ago
- 将deepwalk、node2vector和阿里的文章:Billion-scale Commodity Embedding for E-commerce Recommendation in Alibaba 用代码实现☆55Updated 5 years ago
- keras implementation about Deep Interest Network☆65Updated 6 years ago
- Including several social-media-computing tools.☆11Updated 6 years ago
- 智源 - 看山杯 专家发现算法大赛 2019 7th (https://www.biendata.com/competition/zhihu2019/)☆23Updated 5 years ago
- Tensorflow2.x implementations of CTR(LR、FM、FFM)☆72Updated 4 years ago
- LR, FM, DeepFM, xDeepFM, DIN, CF等推荐算法代码demo。采用TFRecords作为输入,方便实际场景应用。☆104Updated 5 years ago
- Code based in TensorFlow☆50Updated 5 years ago
- A simple DeepFM.☆102Updated 7 years ago
- PyTorch implementation of Attentional Factorization Machines☆10Updated 6 years ago
- a tensorflow implement of MIND (Multi-interest network) recall model☆37Updated 5 years ago
- ☆15Updated 5 years ago
- ☆35Updated 4 years ago
- ☆12Updated 5 years ago
- KDD Cup 2020 Challenges for Modern E-Commerce Platform: Debiasing Full榜15 Half榜13☆67Updated 4 years ago
- Deep Feedback Network for Recommendation☆96Updated 4 years ago
- Attention,Factorization Machine, Deep Learning, Recommender System☆39Updated 7 years ago
- MMoE-TF2.0☆28Updated 5 years ago
- ☆172Updated 5 years ago
- 阿里移动推荐算法比赛☆79Updated 8 years ago
- A simple start for collaborative filtering.☆20Updated 4 years ago
- Deep neural network model based on the tree☆48Updated 6 years ago
- 看山杯 专家发现算法大赛 baseline 0.701741036192302(没有五折验证)☆37Updated 5 years ago
- AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction☆184Updated 3 years ago
- 视频点击预测大赛-TOP1方案☆88Updated 3 years ago
- a python code of applying GBDT+LR for CTR prediction☆334Updated 7 years ago
- 2019年知乎看山杯专家发现算法大赛第六名完整解决方案☆39Updated 5 years ago