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R libraries for recommender systems
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recsysr.md

R libraries for recommender systems

A list of R libraries for Recommender systems. Most of the libraries are good for quick prototyping.

Maintainer: Srikanth KS(talegari) Email: gmail me at sri dot teach (do write to me about packages ommited)

Package Dev page Description
recommenderlab github Provides a research infrastructure to test and develop recommender algorithms including UBCF, IBCF, FunkSVD and association rule-based algorithms
rrecsys github Implementations of several popular recommendation systems like Global/Item/User-Average baselines, Item-Based KNN, FunkSVD, BPR and weighted ALS for rapid prototyping
recosystem github R wrapper of the 'libmf' library (http://www.csie.ntu.edu.tw/~cjlin/libmf/) for recommender system using matrix factorization. It is typically used to approximate an incomplete matrix using the product of two matrices in a latent space. Other common names for this task include "collaborative filtering", "matrix completion", "matrix recovery", etc. High performance multi-core parallel computing is supported in this package
rectools github Advanced Package for Recommender Systems to incorporate user and item covariate information, including item category preferences with Parallel computation, Novel variations on statistical latent factor model, Focus group finder, NMF, ANOVA, cosine models

Non-negative Matrix Factorization and variants

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