Alternatives and similar repositories for Netflix-Recommender-System

Users that are interested in Netflix-Recommender-System are comparing it to the libraries listed below

• sukeshsangam / Deep-Learning-Model-for-Hybrid-Recommendation-Engine
  A Hybrid recommendation engine built on deep learning architecture, which has the potential to combine content-based and collaborative fi…
  ☆31Updated 7 years ago
• huntingzhu / Steam_Recommendation_System
  Recommendation System, Collaborative Filtering, Spark, Hive, Flask, Web Crawler, AWS EC2, AWS RDS
  ☆36Updated 7 years ago
• nikitaa30 / Recommender-Systems
  Implementing Content based and Collaborative filtering(with KNN, Matrix Factorization and Neural Networks) in Python
  ☆57Updated 5 years ago
• beckernick / matrix_factorization_recommenders
  Low-Rank Matrix Factorization for Recommender Systems
  ☆73Updated 8 years ago
• revantkumar / Collaborative-Filtering
  Implemented Item, User and Hybrid based Collaborative Filtering
  ☆159Updated 10 years ago
• ashishrana160796 / online-course-recommendation-system
  Built on data from Pluralsight's course API fetched results. Works with model trained with K-means unsupervised clustering algorithm.
  ☆47Updated 6 years ago
• mandeep147 / Amazon-Product-Recommender-System
  Sentiment analysis on Amazon Review Dataset available at http://snap.stanford.edu/data/web-Amazon.html
  ☆249Updated 7 years ago
• Preetikasri / Anime-Recommendation-Engine
  creating a recommendation engine for anime based on model based collaborative filtering
  ☆31Updated 6 years ago
• animeshgoyal9 / Multi-Armed-Bandit-for-cold-user-in-Recommendation-System
  ☆27Updated 6 years ago
• Chinmayrane16 / Recommender-Systems-with-Collaborative-Filtering-and-Deep-Learning-Techniques
  Implemented User Based and Item based Recommendation System along with state of the art Deep Learning Techniques
  ☆62Updated 5 years ago
• FavioVazquez / deep-learning-pyspark
  Deep Learning with Apache Spark and Deep Cognition
  ☆59Updated 7 years ago
• patilankita79 / Location-based-Restaurants-Recommendation-System
  Big Data Management and Analysis Final Project
  ☆71Updated 7 years ago
• huangy22 / NewsRecommender
  A news recommendation system tailored for user communities
  ☆208Updated 8 years ago
• mickeykedia / Matrix-Factorization-ALS
  Alternating least squares matrix factorization
  ☆17Updated 9 years ago
• safreita1 / Recommender-System
  Anime recommender system using collaborative filtering and latent factor model
  ☆29Updated 7 years ago
• PacktPublishing / Building-Recommender-Systems-with-Machine-Learning-and-AI
  Building Recommender Systems with Machine Learning and AI, published by Packt
  ☆110Updated last month
• abeermohamed1 / Recommender-System
  Implementation of Inferring Networks of Substitutable and Complementary Products Model paper
  ☆15Updated 6 years ago
• MaurizioFD / recsys-challenge-2020-twitter
  The complete code and notebooks used for the ACM Recommender Systems Challenge 2020 by our team BanaNeverAlone at Politecnico di Milano
  ☆39Updated 2 years ago
• kwonmha / Improving-RNN-recommendation-model
  Applied weight tying technique to RNN based recommendation model. Implemented with Tensorflow and Keras.
  ☆53Updated 6 years ago
• karthikmswamy / RecSys
  Builds a recommender system using TensorFlow
  ☆86Updated 8 years ago
• u128str / Netflix-Movie-Recommendation-System
  A Machine Learning Case Study for Recommendation System of movies based on collaborative filtering and content based filtering.
  ☆39Updated 6 years ago
• domainxz / top-k-rec
  A method collection for top-k recommendation
  ☆62Updated 3 years ago
• PierreGe / RL-movie-recommender
  The purpose of our research is to study reinforcement learning approaches to building a movie recommender system. We formulate the proble…
  ☆119Updated 5 years ago
• andreiolariu / kaggle-event-recommendation
  Model for the Event Recommendation Engine Challenge on Kaggle.com
  ☆43Updated 12 years ago
• xiaoouzhang / Collaborative-Deep-Learning-for-Recommender-Systems
  The hybrid model combining stacked denoising autoencoder with matrix factorization is applied, to predict the customer purchase behavior …
  ☆72Updated 7 years ago
• edyoda / pyspark-tutorial
  PySpark Code for Hands-on Learners
  ☆116Updated 5 years ago
• colby-j-wise / Deep_Learning_Recommender_System
  Explore CNN/LSTM/GRU parallel architectures for movie recommendations using Keras & TensorFlow in Python
  ☆51Updated 7 years ago
• prateekjoshi565 / recommendation_system
  ☆63Updated 3 years ago
• khanhnamle1994 / movielens
  4 different recommendation engines for the MovieLens dataset.
  ☆440Updated 6 years ago
• amitkaps / recommendation
  Recommendation System using ML and DL
  ☆506Updated 2 years ago