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.
🍃 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.
Download and preprocess popular sequential recommendation datasets
a simple yet versatile recommendation systems library in python
🍊 👎 Add-on for Orange3 to support recommender systems.
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A repository for a machine learning project about developing a hybrid movie recommender system.
Implementation of collaborative filtering using fastai and pytorch
Movie Recommender based on the MovieLens Dataset (ml-100k) using item-item collaborative filtering.
MovieLens recommendation system using reinforcement learning (GYM + PPO)
Analysis of MovieLens Dataset in Python
Final Project - HarvardX: PH125.9x Capstone Course
Basic recommendation system for Movilens dataset using Keras
New algorithms for Large-scale Collaborative Ranking: PrimalCR and PrimalCR++
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