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A simple, fast algorithm to find the neighbors and similarities of users in user-based filtering systems, to break free from the complex computation of existing similarity formulas and the ability to solve big data.
Version: | 1.0 |
Published: | 2020-03-04 |
DOI: | 10.32614/CRAN.package.CFF |
Author: | Farimah Houshmand Nanehkaran [aut, cre] (University=Islamic Azad University of Kashan,Kashan,Iran), Seyed Mohammad Reza Lajevardi [ctb] (University=Islamic Azad University of Kashan,Kashan,Iran), Mahmoud Mahlouji Bidgholi [ctb] (University=Islamic Azad University of Kashan,Kashan,Iran) |
Maintainer: | Farimah Houshmand Nanehkaran <hoshmandcomputer at gmail.com> |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
NeedsCompilation: | no |
CRAN checks: | CFF results |
Reference manual: | CFF.pdf |
Package source: | CFF_1.0.tar.gz |
Windows binaries: | r-devel: CFF_1.0.zip, r-release: CFF_1.0.zip, r-oldrel: CFF_1.0.zip |
macOS binaries: | r-release (arm64): CFF_1.0.tgz, r-oldrel (arm64): CFF_1.0.tgz, r-release (x86_64): CFF_1.0.tgz, r-oldrel (x86_64): CFF_1.0.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.