vinothsadagopan / Movie-Recommendation-System-Using-Apache-SparkLinks
Movie Recommendation System using Apache Spark and Python implementing User based Collaborative Filtering and Item Based Collaborative Filtering Algorithms
☆12Updated 9 years ago
Alternatives and similar repositories for Movie-Recommendation-System-Using-Apache-Spark
Users that are interested in Movie-Recommendation-System-Using-Apache-Spark are comparing it to the libraries listed below
Sorting:
- Book recommender system using collaborative filtering based on Spark☆385Updated 7 years ago
- movie recommendation demo using collaborative filtering and lfm(spark mllib ALS)☆95Updated 9 years ago
- SVD & BPR+MatrixFactorization using a movie rating dataset; RNN+BPR+BPTT using taobao marketing dataset☆51Updated 7 years ago
- Attention,Factorization Machine, Deep Learning, Recommender System☆39Updated 7 years ago
- Explore CNN/LSTM/GRU parallel architectures for movie recommendations using Keras & TensorFlow in Python☆51Updated 7 years ago
- some papers about the recommender system☆22Updated 7 years ago
- An movie recommendation based on tf☆14Updated 4 years ago
- Applied weight tying technique to RNN based recommendation model. Implemented with Tensorflow and Keras.☆53Updated 6 years ago
- Implementation of the IEEE TII paper titled "Unraveling Metric Vector Spaces withFactorization for Recommendation"☆93Updated 5 years ago
- 阿里移动推荐算法☆126Updated 6 years ago
- This repository contains a modified version of ConvMF which is very interesting in RS.☆12Updated 7 years ago
- A simple recommendation evaluation system, the algorithm includes SLIM, LFM, ItemCF, UserCF☆47Updated 5 years ago
- A pure Python implement of Collaborative Filtering based on MovieLens' dataset.☆185Updated 5 years ago
- The hybrid model combining stacked denoising autoencoder with matrix factorization is applied, to predict the customer purchase behavior …☆72Updated 7 years ago
- Recommendation Models in TensorFlow☆47Updated 6 years ago
- recommendation system with Youtube Deep Net☆84Updated 7 years ago
- Code for our paper Convolutaional Matrix Factorization for Document Context-Aware Recommendation (RecSys 2016)☆284Updated 8 years ago
- News recommendation system based on spark.☆49Updated 8 years ago
- 推荐系统实践(基于近邻和LFM的推荐系统)☆103Updated 7 years ago
- LR, FM, DeepFM, xDeepFM, DIN, CF等推荐算法代码demo。采用TFRecords作为输入,方便实际场景应用。☆104Updated 5 years ago
- tf-recsys contains collaborative filtering (CF) model based on famous SVD and SVD++ algorithm. Both of them are implemented by tensorflow…☆93Updated 5 years ago
- TensorFlow implemenation of GRu4Rec model☆218Updated 6 years ago
- Our implementation of the paper "Embedding-based News Recommendation for Millions of Users"☆141Updated 6 years ago
- Tencent Social Ads 2017 contest rank 20☆158Updated 7 years ago
- 将SVD应用于推荐系统中的评分预测问题☆187Updated 10 years ago
- Classic recommendation algorithms implementation☆42Updated 4 years ago
- 阿里移动推荐算法比赛☆79Updated 8 years ago
- Movie recommendation project using wide and deep learning☆32Updated 9 years ago
- 利用MovieLens数据,Pearson相似度,分别基于User和Item构建一个简单的kNN推荐系统,并给出RMSE评测☆68Updated 6 years ago
- Implemented Item, User and Hybrid based Collaborative Filtering☆159Updated 9 years ago