vinothsadagopan / Movie-Recommendation-System-Using-Apache-Spark
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:
- movie recommendation demo using collaborative filtering and lfm(spark mllib ALS)☆95Updated 8 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☆52Updated 7 years ago
- SVD & BPR+MatrixFactorization using a movie rating dataset; RNN+BPR+BPTT using taobao marketing dataset☆51Updated 7 years ago
- neteasy music recommend system based on Surprise libaray and word2vec model using gensim library☆48Updated 6 years ago
- Implementation of the IEEE TII paper titled "Unraveling Metric Vector Spaces withFactorization for Recommendation"☆93Updated 5 years ago
- Recommender system based on SVD☆10Updated 9 years ago
- The hybrid model combining stacked denoising autoencoder with matrix factorization is applied, to predict the customer purchase behavior …☆71Updated 6 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
- Implementation of Deep Learning model for Recommendation System in Tensorflow☆13Updated 7 years ago
- 推荐系统实践(基于近邻和LFM的推荐系统)☆102Updated 7 years ago
- A simple recommendation evaluation system, the algorithm includes SLIM, LFM, ItemCF, UserCF☆45Updated 4 years ago
- 1.解析爬取到的Json歌单数据，并进行数据预处理。 2.基于Surprise推荐系统库，采用KNNBaseLine实现基于用户 的协同过滤歌曲推荐。3.借鉴Word2Vec算法思想进行Song2Vec处理，实现基于物品的协同过滤歌曲推荐。 4.采用 TensorFlow实…☆39Updated 6 years ago
- code for "Convolution Matrix Factorization for Document Context-Aware Reccomendation"☆8Updated 7 years ago
- A pure Python implement of Collaborative Filtering based on MovieLens' dataset.☆187Updated 5 years ago
- some papers about the recommender system☆22Updated 6 years ago
- 推荐系统论文☆23Updated 5 years ago
- Implemented Item, User and Hybrid based Collaborative Filtering☆158Updated 9 years ago
- Classic recommendation algorithms implementation☆42Updated 3 years ago
- TensorFlow Implementation of Deep Item-based Collaborative Filtering Model for Top-N Recommendation☆100Updated last year
- 简单的实现推荐系统的召回模型和排序模型，其中召回模型使用协同过滤算法，排序模型使用gbdt+lr算法☆59Updated 6 years ago
- Implementation of DeepFM using tensorflow.☆48Updated 7 years ago
- Applied weight tying technique to RNN based recommendation model. Implemented with Tensorflow and Keras.☆53Updated 6 years ago
- 高效的协同过滤算法实现——推荐系统☆52Updated 2 years ago
- 【腾讯社交广告算法大赛_决赛排名35】以移动app广告为研究对象，根据给定广告、用户和上下文情况信息，预测app广告点击后被激活的概率☆28Updated 7 years ago
- ☆19Updated 8 years ago
- This is a movie recommendation system with tensorflow. Dataset is MovieLens.☆20Updated 6 years ago
- tf-recsys contains collaborative filtering (CF) model based on famous SVD and SVD++ algorithm. Both of them are implemented by tensorflow…☆94Updated 5 years ago
- code for the paper "Personalized Context-Aware Re-ranking for E-commerce Recommendation Systems"☆52Updated 6 years ago
- recommendation system with Youtube Deep Net☆84Updated 6 years ago