Package: CFF 1.0
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.
Authors:
CFF_1.0.tar.gz
CFF_1.0.zip(r-4.5)CFF_1.0.zip(r-4.4)CFF_1.0.zip(r-4.3)
CFF_1.0.tgz(r-4.4-any)CFF_1.0.tgz(r-4.3-any)
CFF_1.0.tar.gz(r-4.5-noble)CFF_1.0.tar.gz(r-4.4-noble)
CFF_1.0.tgz(r-4.4-emscripten)CFF_1.0.tgz(r-4.3-emscripten)
CFF.pdf |CFF.html✨
CFF/json (API)
# Install 'CFF' in R: |
install.packages('CFF', repos = c('https://hoshmandcomputer.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 5 years agofrom:1d642bac05. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 16 2024 |
R-4.5-win | OK | Nov 16 2024 |
R-4.5-linux | OK | Nov 16 2024 |
R-4.4-win | OK | Nov 16 2024 |
R-4.4-mac | OK | Nov 16 2024 |
R-4.3-win | OK | Nov 16 2024 |
R-4.3-mac | OK | Nov 16 2024 |
Exports:Score_replacesimple_predictsimple_similarity
Dependencies:
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Simple Similarity for User-Based Collaborative Filtering Systems | CFF-package |
Replacing of Neighbor Users' Ratings on Non-Rated Items By The Active User | Score_replace |
Prediction Unseen Items For The Active User | simple_predict |
Finding Neighbor Users And Their Similarity Values | simple_similarity |