lxmly / recsyspyLinks
Classic recommendation algorithms implementation
☆42Updated 4 years ago
Alternatives and similar repositories for recsyspy
Users that are interested in recsyspy are comparing it to the libraries listed below
Sorting:
- Tencent Social Ads 2017 contest rank 20☆158Updated 8 years ago
- recommendation system with Youtube Deep Net☆84Updated 7 years ago
- Factorization Machines implementation with Tensorflow☆142Updated 6 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
- ☆91Updated 7 years ago
- IJCAI2018阿里妈妈搜索广告转化率预估baseline LB 0.0831☆87Updated 7 years ago
- Pedagogical example realization of wide & deep networks, using TensorFlow and TFLearn.☆145Updated 9 years ago
- xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems☆129Updated 6 years ago
- Attention,Factorization Machine, Deep Learning, Recommender System☆39Updated 7 years ago
- 基于深度学习的CTR预估,从FM推演各深度学习CTR预估模型(附代码)☆208Updated 7 years ago
- ☆43Updated 5 years ago
- 将SVD应用于推荐系统中的评分预测问题☆188Updated 10 years ago
- ☆51Updated 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
- code of scattered practices when studying "machine-learning".☆92Updated 5 years ago
- ☆31Updated 7 years ago
- A practical movie recommend project based on Item2vec.☆281Updated 5 years ago
- Classical RecSys algorithms implemented by using TensorFlow Estimators☆184Updated 7 years ago
- 2018年腾讯广告算法大赛Rank10代码:深度部分☆67Updated 7 years ago
- Neural candidates generation network based on Youtube reommender paper☆21Updated 6 years ago
- use xgboost and lr model for text classification. xgboost is used to be a feature transform for LR☆44Updated 8 years ago
- FFM implement with tensorflow by Python☆60Updated 8 years ago
- Our implementation of the paper "Embedding-based News Recommendation for Millions of Users"☆140Updated 6 years ago
- kaggle 2014 criteo ctr竞赛方案整理 https://www.kaggle.com/c/criteo-display-ad-challenge☆58Updated 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
- A simple DeepFM.☆102Updated 7 years ago
- Deep Matching, Correlation and Prediction (DeepMCP) Model☆124Updated 5 years ago
- code for the paper "Personalized Context-Aware Re-ranking for E-commerce Recommendation Systems"☆52Updated 6 years ago
- Basic Deep Learning☆36Updated 6 years ago
- 用户预订售卖房型概率预测--top1☆142Updated 8 years ago