recosystem
Recommender System using Matrix Factorization
R wrapper of the 'libmf' library https://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.
- Version0.5.1
- R versionunknown
- LicenseBSD_3_clause
- Needs compilation?Yes
- Last release05/05/2023
Documentation
Team
Yixuan Qiu
MaintainerShow author detailsDavid Cortes
Chih-Jen Lin
Yu-Chin Juan
Wei-Sheng Chin
Yong Zhuang
Bo-Wen Yuan
Meng-Yuan Yang
other contributors
Insights
Last 30 days
This package has been downloaded 1,700 times in the last 30 days. That's enough downloads to impress a room full of undergrads. A commendable achievement indeed. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 70 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 17,861 times in the last 365 days. The downloads are officially high enough to crash an underfunded departmental server. Quite an accomplishment! The day with the most downloads was Mar 05, 2025 with 149 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Imports2 packages
- Suggests4 packages
- Linking To2 packages
- Reverse Imports2 packages
- Reverse Suggests1 package