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
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

Downloads:

Reference manual: CFF.pdf
Package source: CFF_1.0.tar.gz
Windows binaries: r-devel: CFF_1.0.zip, r-devel-gcc8: CFF_1.0.zip, r-release: CFF_1.0.zip, r-oldrel: CFF_1.0.zip
OS X binaries: r-release: CFF_1.0.tgz, r-oldrel: CFF_1.0.tgz

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