yinyajun / Details-In-RecommendationLinks
Recommender-In-Detail is a package which offers detailed implementations of state-of-the-art techniques and basic methods in recommendation.
☆19Updated 5 years ago
Alternatives and similar repositories for Details-In-Recommendation
Users that are interested in Details-In-Recommendation are comparing it to the libraries listed below
Sorting:
- IJCAI-18 阿里妈妈搜索广告转化预测总结☆21Updated 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 4 years ago
- Contextual Recommendation Implementation for Research Purposes☆19Updated 11 months ago
- Tensorflow implementation for Interaction-aware factorization machines☆50Updated 5 years ago
- Neural candidates generation network based on Youtube reommender paper☆21Updated 6 years ago
- spark-simrank scala☆17Updated 8 years ago
- it's the realization of Tree-based Deep Model with tensorflow☆32Updated 5 years ago
- Deep Matching, Correlation and Prediction (DeepMCP) Model☆125Updated 4 years ago
- recommendation system with Youtube Deep Net☆84Updated 6 years ago
- papers we read about Recommendation Advertising & Search☆31Updated 5 years ago
- An implementation of GBDT+FM☆24Updated 8 years ago
- show how to use tensorflow estimator train and export model, then serving model and call for prediction☆25Updated last year
- Multi-thread implementation of Factorization Machines with FTRL for multi-class classification problem which uses softmax as hypothesis.☆70Updated 4 years ago
- ☆24Updated 4 years ago
- implementation of factorization machine, support classification.☆20Updated 7 years ago
- Attention,Factorization Machine, Deep Learning, Recommender System☆39Updated 7 years ago
- Distributed FM and LR based on Rabit with Lbfgs☆27Updated 8 years ago
- ☆91Updated 7 years ago
- ☆62Updated 5 years ago
- IJCAI-18 阿里妈妈搜索广告转化预测☆53Updated 7 years ago
- Deep neural network model based on the tree☆48Updated 6 years ago
- ☆27Updated 7 years ago
- Wide and Deep Learning(Wide&ResDNN) for Kaggle Criteo Dataset in tensorflow☆82Updated 6 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
- Deep Pray(深度祈祷): LEGO for deep learning, Making AI easier, faster and cheaper👻☆42Updated last year
- use xgboost and lr model for text classification. xgboost is used to be a feature transform for LR☆44Updated 7 years ago
- 2018年腾讯广告算法大赛Rank10代码：深度部分☆68Updated 6 years ago
- EGES☆9Updated 5 years ago
- Implementation of DeepFM using tensorflow.☆48Updated 7 years ago
- ☆37Updated 8 years ago