zhyq / word2vec-spark
sprark word2vec wordembedding embedding
☆18Updated 6 years ago
Alternatives and similar repositories for word2vec-spark
Users that are interested in word2vec-spark are comparing it to the libraries listed below
Sorting:
- code exercise: dbscan(ballTree improve) | ctr(ftrl) | text classification(bayes..) | kmeans | general LR |..☆26Updated 9 years ago
- An implementation of GBDT+FM☆24Updated 8 years ago
- ☆27Updated 7 years ago
- Deep structured semantic model☆32Updated 9 years ago
- 2016 Byte Cup国际机器学习竞赛☆26Updated 8 years ago
- using FM latent vectors as embedding features☆14Updated 7 years ago
- use xgboost and lr model for text classification. xgboost is used to be a feature transform for LR☆44Updated 7 years ago
- ☆14Updated 6 years ago
- Multi-thread implementation of Factorization Machines with FTRL for multi-class classification problem which uses softmax as hypothesis.☆70Updated 3 years ago
- word2vec源码阅读,标记了中文注释☆61Updated 8 years ago
- Neural candidates generation network based on Youtube reommender paper☆21Updated 6 years ago
- ☆24Updated 9 years ago
- ☆54Updated 2 years ago
- LR and FM (with sgd or ftrl) model☆25Updated 8 years ago
- Classic recommendation algorithms implementation☆42Updated 3 years ago
- Using gbdt+lr in recommend system and comparing the auc of lr, gbdt, gbdt+lr.☆24Updated 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 5 years ago
- Contextual Recommendation Implementation for Research Purposes☆19Updated 10 months ago
- ☆22Updated 6 years ago
- recommendation system with Youtube Deep Net☆84Updated 6 years ago
- Calculate SimRank for a Networkx graph using the Delta Simrank method within MapReduce framework☆51Updated 9 years ago
- 2018年腾讯广告算法大赛Rank10代码:深度部分☆68Updated 6 years ago
- JData算法大赛☆31Updated 7 years ago
- Click-Through Rate Estimation for Rare Events in Online Advertising☆13Updated 6 years ago
- 算法相关的各种论文和slides☆42Updated 6 years ago
- Hybrid model of Gradient Boosting Trees and Logistic Regression (GBDT+LR) on Spark☆88Updated 6 years ago
- show how to use tensorflow estimator train and export model, then serving model and call for prediction☆25Updated last year
- ☆91Updated 7 years ago
- ☆22Updated 5 years ago
- ☆31Updated 7 years ago