SongDark / libffm_converterLinks
☆17Updated 7 years ago
Alternatives and similar repositories for libffm_converter
Users that are interested in libffm_converter are comparing it to the libraries listed below
Sorting:
- xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems☆129Updated 6 years ago
- recommendation system with Youtube Deep Net☆84Updated 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 6 years ago
- Hybrid model of Gradient Boosting Trees and Logistic Regression (GBDT+LR) on Spark☆88Updated 6 years ago
- LightCTR is a tensorflow 2.0 based, extensible toolbox for building CTR/CVR predicting models.☆103Updated 2 years ago
- Tensorflow2.x implementations of CTR（LR、FM、FFM)☆72Updated 4 years ago
- A parallel implementation of factorization machines based on Spark☆75Updated 5 years ago
- convert DataFrame to libffm data format in parallel☆30Updated 7 years ago
- Factorization Machines implementation with Tensorflow☆142Updated 6 years ago
- Wide and Deep Learning(Wide&ResDNN) for Kaggle Criteo Dataset in tensorflow☆82Updated 6 years ago
- IJCAI-18 阿里妈妈搜索广告转化预测初赛方案☆74Updated 7 years ago
- ☆91Updated 7 years ago
- FFM (Field-Awared Factorization Machine) on Spark☆106Updated 7 years ago
- ☆27Updated 6 years ago
- Neural candidates generation network based on Youtube reommender paper☆21Updated 6 years ago
- ☆31Updated 7 years ago
- ☆27Updated 8 years ago
- Keras implementation of Tensorflow's Wide and Deep Algorithm☆161Updated 6 years ago
- 2018年腾讯广告算法大赛Rank10代码：深度部分☆68Updated 7 years ago
- Python Wrapped LibFFM☆64Updated 7 years ago
- ☆15Updated 7 years ago
- This is a kaggle challenge project called Display Advertising Challenge by CriteoLabs at 2014.这是2014年由CriteoLabs在kaggle上发起的广告点击率预估挑战项目。☆361Updated 6 years ago
- qq2018spa☆38Updated 7 years ago
- A simple DeepFM.☆102Updated 7 years ago
- Multi-thread implementation of lambdaFM with FTRL for ranking problem. LambdaFM is a learning-to-rank algorithm by combining LambdaRank a…☆110Updated 4 years ago
- code of scattered practices when studying "machine-learning".☆92Updated 5 years ago
- ATEC蚂蚁开发者大赛-支付风险识别-Rank7☆85Updated 7 years ago
- 第二届腾讯广告算法大赛（Rank 9） http://algo.tpai.qq.com/home/rankinglist/rankingList☆107Updated 7 years ago
- 第一届腾讯社交广告算法大赛☆40Updated 8 years ago
- use xgboost and lr model for text classification. xgboost is used to be a feature transform for LR☆44Updated 8 years ago