4 different recommendation engines for the MovieLens dataset.
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Updated
Jul 12, 2019 - Jupyter Notebook
4 different recommendation engines for the MovieLens dataset.
A pure Python implement of Collaborative Filtering based on MovieLens' dataset.
Download and preprocess popular sequential recommendation datasets
🍃 Recommender System in JavaScript for the MovieLens Database
A step-by-step tutorial on developing a practical recommendation system (retrieval and ranking) using TensorFlow Recommenders and Keras.
a simple yet versatile recommendation systems library in python
MovieLens recommendation system using reinforcement learning (GYM + PPO)
Recommendation Models in TensorFlow
A repository for a machine learning project about developing a hybrid movie recommender system.
Building recommenders with Elastic Graph!
Movie Recommender based on the MovieLens Dataset (ml-100k) using item-item collaborative filtering.
🍊 👎 Add-on for Orange3 to support recommender systems.
Any data but iris 👁
Making movies recommendation using a Collaborative Filtering Algorithm on the famous MovieLens dataset.
Movie Website built on python Django framework; Uses Content Based Predictive Model approach to predict similar movies based on the contents/genres similarities
A new efficient subspace and K-Means clustering based method to improve Collaborative Filtering
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