Simple Similarity for User-Based Collaborative Filtering Systems [R package CFF version 1.0]

Farimah Houshmand Nanehkaran

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 [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

Documentation:

Reference manual:

CFF.html , 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:

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