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CFF: Simple Similarity for User-Based Collaborative Filtering Systems

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 ORCID iD [aut, cre] (University=Islamic Azad University of Kashan,Kashan,Iran), Seyed Mohammad Reza Lajevardi ORCID iD [ctb] (University=Islamic Azad University of Kashan,Kashan,Iran), Mahmoud Mahlouji Bidgholi ORCID iD [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

Documentation:

Reference manual: CFF.pdf

Downloads:

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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=CFF to link to this page.

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.
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