recommenderlab - Lab for Developing and Testing Recommender Algorithms - R package

Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language

Fast and accurate machine learning on sparse matrices - matrix factorizations, regression, classification, top-N recommendations.

🍱 R implementation for selected machine learning methods with deep learning frameworks (Keras, Tensorflow)

code for Gogleva et al manuscript

Movie Recommendation System: Project using R and Machine learning

Laboratory for collaborative filtering

Fusing Similarity Models with Markov Chains for Sparse Sequential Recommendation in R and Python

Factoried Personalized Markov Chains for Next Basket Recommendation in R and Python

Datasets and source code for reproducing the paper 'Integrating multiple evidence sources to predict adverse drug reactions based on systems pharmacology model'.

Partially Synthetic Data Generation for Recommender systems

A Movie Recommender App

R implementation of M Brand, Fast Online SVD Revisions for Lightweight Recommender Systems.

Benchmarking different implementations of weighted-ALS matrix factorization

Shiny App for recommending a movie based on the user's review.

R interface to the fastFM library

Relations / rating prediction in trust-based social networks

Developing a Recommender System for Customers in a Scan and Go store using Apriori Algorithm in Market Basket Analysis

Movie Recommendation System is an R project to enhance your Machine Learning knowledge. It is simply a recommendation system that provides consumers with various suggestions based on their history and interests.