hibayesian / spark-word2vec
A parallel implementation of word2vec based on Spark
☆22Updated 7 years ago
Alternatives and similar repositories for spark-word2vec:
Users that are interested in spark-word2vec are comparing it to the libraries listed below
- Distributed implementation of DeepWalk on Apache Spark☆14Updated 7 years ago
- Deep structured semantic model☆32Updated 8 years ago
- MXNet for CTR☆50Updated 7 years ago
- spark-simrank scala☆17Updated 8 years ago
- RankNet on TensorFlow☆21Updated 7 years ago
- A SimRank algorithm implementation using Spark☆48Updated 11 years ago
- ☆31Updated 2 years ago
- Bayesian Personalized Ranking for Spark☆40Updated 7 years ago
- field-aware factorization machine implemented by java with an experiment using criteo data set.☆39Updated 9 years ago
- An implementation of GBDT+FM☆24Updated 8 years ago
- LTR DNN in tensorflow, an improvement of DSSM☆21Updated 7 years ago
- code exercise: dbscan(ballTree improve) | ctr(ftrl) | text classification(bayes..) | kmeans | general LR |..☆26Updated 9 years ago
- Deep Learning for Recommendation☆34Updated 7 years ago
- Pedagogical example realization of wide & deep networks, using TensorFlow and TFLearn.☆145Updated 8 years ago
- items browsed in a session as a context are modeled to vec with bidirectional lstm☆18Updated 8 years ago
- IJCAI-18 阿里妈妈搜索广告转化预测总结☆21Updated 6 years ago
- ☆27Updated 7 years ago
- Distributed FM and LR based on Rabit with Lbfgs☆27Updated 8 years ago
- 算法相关的各种论文和slides☆42Updated 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
- 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
- spark,NLP,新词发现,自然语言处理☆23Updated 7 years ago
- embedding users and items in the same space using a Word2Vec model☆9Updated 9 years ago
- sprark word2vec wordembedding embedding☆18Updated 6 years ago
- ☆22Updated 5 years ago
- use xgboost and lr model for text classification. xgboost is used to be a feature transform for LR☆44Updated 7 years ago
- Using gbdt+lr in recommend system and comparing the auc of lr, gbdt, gbdt+lr.☆24Updated 7 years ago
- ☆27Updated 7 years ago
- implementation of factorization machine, support classification.☆20Updated 6 years ago
- show how to use tensorflow estimator train and export model, then serving model and call for prediction☆25Updated last year