Other packages > Find by keyword >

GACFF  

Genetic Similarity in User-Based Collaborative Filtering
View on CRAN: Click here


Download and install GACFF package within the R console
Install from CRAN:
install.packages("GACFF")

Install from Github:
library("remotes")
install_github("cran/GACFF")

Install by package version:
library("remotes")
install_version("GACFF", "1.0")



Attach the package and use:
library("GACFF")
Maintained by
Farimah Houshmand Nanehkaran
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-12-20
Latest Update: 2019-12-20
Description:
The genetic algorithm can be used directly to find the similarity of users and more effectively to increase the efficiency of the collaborative filtering method. By identifying the nearest neighbors to the active user, before the genetic algorithm, and by identifying suitable starting points, an effective method for user-based collaborative filtering method has been developed. This package uses an optimization algorithm (continuous genetic algorithm) to directly find the optimal similarities between active users (users for whom current recommendations are made) and others. First, by determining the nearest neighbor and their number, the number of genes in a chromosome is determined. Each gene represents the neighbor's similarity to the active user. By estimating the starting points of the genetic algorithm, it quickly converges to the optimal solutions. The positive point is the independence of the genetic algorithm on the number of data that for big data is an effective help in solving the problem.
How to cite:
Farimah Houshmand Nanehkaran (2019). GACFF: Genetic Similarity in User-Based Collaborative Filtering. R package version 1.0, https://cran.r-project.org/web/packages/GACFF. Accessed 22 Dec. 2024.
Previous versions and publish date:
No previous versions
Other packages that cited GACFF R package
View GACFF citation profile
Other R packages that GACFF depends, imports, suggests or enhances
Complete documentation for GACFF
Functions, R codes and Examples using the GACFF R package
Some associated functions: GACFF-package . Genetic . ItemSelect . NewKNN . Pearson . Prediction . Results . Similarity_Pearson . meanR.Results . plotResults . 
Some associated R codes: Genetic.R . ItemSelect.R . NewKNN.R . Pearson.R . Prediction.R . Results.R . Similarity_Pearson.R . meanR.Results.R . plotResults.R .  Full GACFF package functions and examples
Downloads during the last 30 days
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

Rfast2  
A Collection of Efficient and Extremely Fast R Functions II
A collection of fast statistical and utility functions for data analysis. Functions for regression, ...
Download / Learn more Package Citations See dependency  
dmlalg  
Double Machine Learning Algorithms
Implementation of double machine learning (DML) algorithms in R, based on Emmenegger and Buehlmann ...
Download / Learn more Package Citations See dependency  
composits  
Compositional, Multivariate and Univariate Time Series Outlier Ensemble
A compositional multivariate and univariate time series outlier ensemble.It uses the four R packages ...
Download / Learn more Package Citations See dependency  
LOGANTree  
Tree-Based Models for the Analysis of Log Files from Computer-Based Assessments
Enables researchers to model log-file data from computer-based assessments using machine-learning te ...
Download / Learn more Package Citations See dependency  
Maintainer: Qi Qin (view profile)
elect  
Estimation of Life Expectancies Using Multi-State Models
Functions to compute state-specific and marginal life expectancies. The computation is based on a fi ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  

23,394

R Packages

201,798

Dependencies

63,416

Author Associations

23,395

Publication Badges

© Copyright 2022 - present. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA