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recommenderlab: Lab for Developing and Testing Recommender Algorithms
Provides a research infrastructure to develop and evaluate collaborative filtering recommender algorithms. This includes a sparse representation for user-item matrices, many popular algorithms, top-N recommendations, and cross-validation. Hahsler (2022) <doi:10.48550/arXiv.2205.12371>.
Getting started
Browse package contents
Package details |
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| Author | Michael Hahsler [aut, cre, cph] (ORCID: <https://orcid.org/0000-0003-2716-1405>), Bregt Vereet [ctb] |
| Maintainer | Michael Hahsler <mhahsler@lyle.smu.edu> |
| License | GPL-2 |
| Version | 1.1.0 |
| URL | https://github.com/mhahsler/recommenderlab http://michael.hahsler.net/recommenderlab/ |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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