Other packages > Find by keyword >

recometrics  

Evaluation Metrics for Implicit-Feedback Recommender Systems
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("recometrics", "0.1.6-3")



Attach the package and use:
library("recometrics")
Maintained by
David Cortes
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-07-15
Latest Update: 2023-02-19
Description:
Calculates evaluation metrics for implicit-feedback recommender systems that are based on low-rank matrix factorization models, given the fitted model matrices and data, thus allowing to compare models from a variety of libraries. Metrics include P@K (precision-at-k, for top-K recommendations), R@K (recall at k), AP@K (average precision at k), NDCG@K (normalized discounted cumulative gain at k), Hit@K (from which the 'Hit Rate' is calculated), RR@K (reciprocal rank at k, from which the 'MRR' or 'mean reciprocal rank' is calculated), ROC-AUC (area under the receiver-operating characteristic curve), and PR-AUC (area under the precision-recall curve). These are calculated on a per-user basis according to the ranking of items induced by the model, using efficient multi-threaded routines. Also provides functions for creating train-test splits for model fitting and evaluation.
How to cite:
David Cortes (2021). recometrics: Evaluation Metrics for Implicit-Feedback Recommender Systems. R package version 0.1.6-3, https://cran.r-project.org/web/packages/recometrics. Accessed 26 Aug. 2026.
Previous versions and publish date:
(2026-07-09 06:49), 0.1.2 (2021-07-15 13:10), 0.1.3 (2021-07-20 09:40), 0.1.5-2 (2021-10-14 06:30), 0.1.5 (2021-09-02 19:20), 0.1.6-1 (2022-08-06 21:40), 0.1.6 (2022-01-20 23:52)
Other packages that cited recometrics R package
View recometrics citation profile
Other R packages that recometrics depends, imports, suggests or enhances
Complete documentation for recometrics
Functions, R codes and Examples using the recometrics R package
Some associated functions: calc.reco.metrics . create.reco.train.test . 
Some associated R codes: RcppExports.R . recometrics.R .  Full recometrics package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

PCADSC  
Tools for Principal Component Analysis-Based Data Structure Comparisons
A suite of non-parametric, visual tools for assessing differences in data structures for two datase ...
Download / Learn more Package Citations See dependency  
RCytoGPS  
Using Cytogenetics Data in R
Defines classes and methods to process text-based cytogenetics using the CytoGPS web site, then imp ...
Download / Learn more Package Citations See dependency  
leafgl  
High-Performance 'WebGl' Rendering for Package 'leaflet'
Provides bindings to the 'Leaflet.glify' JavaScript library which extends the 'leaflet' JavaScript l ...
Download / Learn more Package Citations See dependency  
clinUtils  
General Utility Functions for Analysis of Clinical Data
Utility functions to facilitate the import, the reporting and analysis of clinical data. Example ...
Download / Learn more Package Citations See dependency  
SelvarMix  
Regularization for Variable Selection in Model-Based Clustering and Discriminant Analysis
Performs a regularization approach to variable selection in themodel-based clustering and classifica ...
Download / Learn more Package Citations See dependency  
ncodeR  
Techniques for Automated Classifiers
A set of techniques that can be used to develop, validate, and implement automated classifiers. A po ...
Download / Learn more Package Citations See dependency  

28,332

R Packages

239,283

Dependencies

75,113

Author Associations

28,333

Publication Badges

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