Nothing
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>.
Package details |
|
---|---|
Author | Michael Hahsler [aut, cre, cph] (<https://orcid.org/0000-0003-2716-1405>), Bregt Vereet [ctb] |
Maintainer | Michael Hahsler <mhahsler@lyle.smu.edu> |
License | GPL-2 |
Version | 1.0.6 |
URL | https://github.com/mhahsler/recommenderlab |
Package repository | View on CRAN |
Installation |
Install the latest version of this package by entering the following in R:
|
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.