recommenderlab - Lab for Developing and Testing Recommender Algorithms - R package
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Updated
Mar 18, 2024 - R
recommenderlab - Lab for Developing and Testing Recommender Algorithms - R package
Fast and accurate machine learning on sparse matrices - matrix factorizations, regression, classification, top-N recommendations.
Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language
🍱 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
Partially Synthetic Data Generation for Recommender systems
Datasets and source code for reproducing the paper 'Integrating multiple evidence sources to predict adverse drug reactions based on systems pharmacology model'.
Factoried Personalized Markov Chains for Next Basket Recommendation in R and Python
R implementation of M Brand, Fast Online SVD Revisions for Lightweight Recommender Systems.
Shiny App for recommending a movie based on the user's review.
Benchmarking different implementations of weighted-ALS matrix factorization
R interface to the fastFM library
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.
Basket-Sensitive Recommender System & Factorization Machines for grocery shopping based on hybrid random walk models.
Book-a-bike is a concept app that enables bike-reservation from bike-sharing services.
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