rrecsys

Environment for Evaluating Recommender Systems

CRAN Package

Processes standard recommendation datasets (e.g., a user-item rating matrix) as input and generates rating predictions and lists of recommended items. Standard algorithm implementations which are included in this package are the following: Global/Item/User-Average baselines, Weighted Slope One, Item-Based KNN, User-Based KNN, FunkSVD, BPR and weighted ALS. They can be assessed according to the standard offline evaluation methodology (Shani, et al. (2011)) for recommender systems using measures such as MAE, RMSE, Precision, Recall, F1, AUC, NDCG, RankScore and coverage measures. The package (Coba, et al.(2017)) is intended for rapid prototyping of recommendation algorithms and education purposes.

  • Version0.9.7.3.1
  • R versionunknown
  • LicenseGPL-3
  • Needs compilation?Yes
  • Last release06/09/2019

Documentation


Team


Insights

Last 30 days

This package has been downloaded 253 times in the last 30 days. More than a random curiosity, but not quite a blockbuster. Still, it's gaining traction! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 6 times.

Sun
Mon
Tue
Wed
Thu
Fri
Sat
0 downloadsMar 2, 2025
0 downloadsMar 3, 2025
14 downloadsMar 4, 2025
20 downloadsMar 5, 2025
4 downloadsMar 6, 2025
3 downloadsMar 7, 2025
1 downloadsMar 8, 2025
6 downloadsMar 9, 2025
4 downloadsMar 10, 2025
32 downloadsMar 11, 2025
16 downloadsMar 12, 2025
5 downloadsMar 13, 2025
3 downloadsMar 14, 2025
20 downloadsMar 15, 2025
5 downloadsMar 16, 2025
10 downloadsMar 17, 2025
11 downloadsMar 18, 2025
2 downloadsMar 19, 2025
9 downloadsMar 20, 2025
9 downloadsMar 21, 2025
7 downloadsMar 22, 2025
6 downloadsMar 23, 2025
6 downloadsMar 24, 2025
2 downloadsMar 25, 2025
5 downloadsMar 26, 2025
9 downloadsMar 27, 2025
21 downloadsMar 28, 2025
1 downloadsMar 29, 2025
10 downloadsMar 30, 2025
2 downloadsMar 31, 2025
4 downloadsApr 1, 2025
6 downloadsApr 2, 2025
0 downloadsApr 3, 2025
0 downloadsApr 4, 2025
0 downloadsApr 5, 2025
1
32

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Last 365 days

This package has been downloaded 3,291 times in the last 365 days. Consider this 'mid-tier influencer' status—if it were a TikTok, it would get a nod from nieces and nephews. The day with the most downloads was Sep 11, 2024 with 38 downloads.

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Data provided by CRAN


Binaries


Dependencies

  • Depends4 packages
  • Imports1 package
  • Linking To1 package