artmoskvin / real-time-recommenderLinks
Real-time collaborative filtering recommender system
☆51Updated 5 years ago
Alternatives and similar repositories for real-time-recommender
Users that are interested in real-time-recommender are comparing it to the libraries listed below
Sorting:
- Item and User-based KNN recommendation algorithms using PySpark☆125Updated 7 years ago
- Bayesian Personalized Ranking for Spark☆40Updated 7 years ago
- A parallel implementation of factorization machines based on Spark☆75Updated 5 years ago
- Hybrid model of Gradient Boosting Trees and Logistic Regression (GBDT+LR) on Spark☆87Updated 6 years ago
- An implement of Factorization Machines (LibFM)☆252Updated 7 years ago
- News recommendation system based on spark.☆49Updated 8 years ago
- FFM (Field-Awared Factorization Machine) on Spark☆106Updated 7 years ago
- libffm with ftrl updater☆94Updated 8 years ago
- Distributed Streaming Matrix Factorization implemented on Spark for Recommendation Systems☆107Updated 9 years ago
- A Java implementation of libFM(Factorization Machine Library)☆40Updated last year
- A Tensorflow based implicit recommender system☆107Updated 5 years ago
- Applied weight tying technique to RNN based recommendation model. Implemented with Tensorflow and Keras.☆53Updated 6 years ago
- A SimRank algorithm implementation using Spark☆48Updated 11 years ago
- A feedback controller for stabilizing RTB performance to a target value.☆70Updated 9 years ago
- Java 8 Recommender Systems framework for novelty, diversity and much more☆279Updated 3 years ago
- A java implementation of LightGBM predicting part☆86Updated last year
- Criteo/Kaggle Competition of CTR prediction☆129Updated 10 years ago
- scalable Recommeder System for e-commerece using LightFM package in python☆47Updated 6 years ago
- A scalable nearest neighbor search library in Apache Spark☆263Updated 6 years ago
- ☆27Updated 7 years ago
- ☆18Updated 8 years ago
- Implementation of Factorization Machines on Spark using parallel stochastic gradient descent (python and scala)☆230Updated 9 years ago
- A recommendation system using tensorflow☆73Updated 7 years ago
- ☆84Updated 6 years ago
- Expedia Learning to Rank Hotels to Maximize Purchases, Kaggle Competition☆44Updated 10 years ago
- Spark-based GBM☆56Updated 5 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
- Multi-thread implementation of Piece-wise Linear Model(PLM) or Mixture of LR(MLR) with FTRL for binary-class classification problem.☆129Updated 4 years ago
- Wide and Deep Learning(Wide&ResDNN) for Kaggle Criteo Dataset in tensorflow☆82Updated 6 years ago
- 主要解决ctr预估工程中的特征选择,特征编号(特征离散),单特征auc和logloss这3个问题.☆20Updated 8 years ago