hzhaoaf / News-Recommendation-System
This is a repository in which we take part in the big data competition， focusing on recommendation system.
☆18Updated 8 years ago
Related projects ⓘ
Alternatives and complementary repositories for News-Recommendation-System
- spark-simrank scala☆17Updated 7 years ago
- 通过对于现有开源分布式机器学习工具的整合(主要是基于参数服务器的logistic regression,xgboost,FFM,FM ),打造一个工业级的,可以线上使用的点击率预估流水线☆26Updated 7 years ago
- Attention,Factorization Machine, Deep Learning, Recommender System☆39Updated 6 years ago
- Using gbdt+lr in recommend system and comparing the auc of lr, gbdt, gbdt+lr.☆24Updated 7 years ago
- Movie recommendation project using wide and deep learning☆32Updated 8 years ago
- Contextual Recommendation Implementation for Research Purposes☆19Updated 4 months ago
- Deep Learning for Recommendation☆35Updated 7 years ago
- Factorization Machine, Deep Learning, Recommender System☆18Updated 6 years ago
- ☆31Updated 2 years ago
- ☆20Updated 8 years ago
- Experiments codes for WWW 2018 Poster paper "An Improved Sampler for Bayesian Personalized Ranking by Leveraging View Data "☆16Updated 6 years ago
- This repository contains a modified version of ConvMF which is very interesting in RS.☆12Updated 6 years ago
- Implementation of the IEEE TII paper titled "Unraveling Metric Vector Spaces withFactorization for Recommendation"☆92Updated 5 years ago
- items browsed in a session as a context are modeled to vec with bidirectional lstm☆18Updated 8 years ago
- pairwise learning to rank with logistic regression☆19Updated 8 years ago
- CFRBM is a implementation of the RBM model to the collaborative filtering task☆40Updated 6 years ago
- 一个分布式的高性能Word2Vec实现☆15Updated 9 years ago
- Classic recommendation algorithms implementation☆42Updated 3 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
- simple multi-class GBDT☆15Updated 10 years ago
- 基于Spark的LambdaMART实现☆11Updated 9 years ago
- Implementation of Deep Learning model for Recommendation System in Tensorflow☆13Updated 7 years ago
- The hybrid model combining stacked denoising autoencoder with matrix factorization is applied, to predict the customer purchase behavior …☆69Updated 6 years ago
- Distributed implementation of DeepWalk on Apache Spark☆14Updated 6 years ago
- 对电影进行多标签标注☆19Updated 9 years ago
- This is a movie recommendation system with tensorflow. Dataset is MovieLens.☆20Updated 6 years ago
- News recommendation system based on spark.☆47Updated 7 years ago