diogojapinto / ctr-predictionLinks
Code for the Click-Through Rate Prediction Kaggle challenge from Avazu
☆11Updated 8 years ago
Alternatives and similar repositories for ctr-prediction
Users that are interested in ctr-prediction are comparing it to the libraries listed below
Sorting:
- Implementation of DeepFM using tensorflow.☆48Updated 7 years ago
- ☆31Updated 7 years ago
- Click-Through Rate Estimation for Rare Events in Online Advertising☆13Updated 7 years ago
- Implement item2vec algorithm☆77Updated 7 years ago
- distributed version of product-nets☆82Updated 5 years ago
- xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems☆129Updated 6 years ago
- Recommender-In-Detail is a package which offers detailed implementations of state-of-the-art techniques and basic methods in recommendati…☆19Updated 6 years ago
- convert DataFrame to libffm data format in parallel☆30Updated 7 years ago
- A parallel implementation of factorization machines based on Spark☆75Updated 5 years ago
- An implementation of GBDT+FM☆24Updated 8 years ago
- ToR[e]cSys is a PyTorch Framework to implement recommendation system algorithms, including but not limited to click-through-rate (CTR) pr…☆106Updated 3 years ago
- Deepray: LEGO for deep learning, Making AI easier, faster and cheaper👻☆42Updated this week
- Python Wrapped LibFFM☆64Updated 7 years ago
- Factorization Machines implementation with Tensorflow☆142Updated 6 years ago
- Jarvis is a toolbox built on top of TensorFlow2.0 that allows developers and researchers to easily build neural networks in TensorFlow, p…☆37Updated 5 years ago
- ☆91Updated 7 years ago
- Wide and Deep Learning(Wide&ResDNN) for Kaggle Criteo Dataset in tensorflow☆82Updated 6 years ago
- Our implementation of the paper "Embedding-based News Recommendation for Millions of Users"☆141Updated 6 years ago
- FFM (Field-Awared Factorization Machine) on Spark☆106Updated 7 years ago
- recommendation system with Youtube Deep Net☆84Updated 7 years ago
- Deep neural network model based on the tree☆49Updated 6 years ago
- ☆23Updated 8 years ago
- 2016 Byte Cup国际机器学习竞赛☆27Updated 8 years ago
- Hybrid model of Gradient Boosting Trees and Logistic Regression (GBDT+LR) on Spark☆88Updated 6 years ago
- A training and testing framework supporting experiments in CIKM 2016 paper "User Response Learning for Directly Optimizing Campaign Perfo…☆27Updated 7 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
- Classical RecSys algorithms implemented by using TensorFlow Estimators☆184Updated 6 years ago
- Implement Wide & Deep algorithm by using NumPy☆156Updated 6 years ago
- Deep Matching, Correlation and Prediction (DeepMCP) Model☆125Updated 5 years ago
- Demo implementation for "A Pareto-Efficient Algorithm for Multiple Objective Optimization in E-Commerce Recommendation".☆54Updated 5 years ago