Package: slimrec 0.1.0
slimrec: Sparse Linear Method to Predict Ratings and Top-N Recommendations
Sparse Linear Method(SLIM) predicts ratings and top-n recommendations suited for sparse implicit positive feedback systems. SLIM is decomposed into multiple elasticnet optimization problems which are solved in parallel over multiple cores. The package is based on "SLIM: Sparse Linear Methods for Top-N Recommender Systems" by Xia Ning and George Karypis <doi:10.1109/ICDM.2011.134>.
Authors:
slimrec_0.1.0.tar.gz
slimrec_0.1.0.zip(r-4.5)slimrec_0.1.0.zip(r-4.4)slimrec_0.1.0.zip(r-4.3)
slimrec_0.1.0.tgz(r-4.4-any)slimrec_0.1.0.tgz(r-4.3-any)
slimrec_0.1.0.tar.gz(r-4.5-noble)slimrec_0.1.0.tar.gz(r-4.4-noble)
slimrec_0.1.0.tgz(r-4.4-emscripten)slimrec_0.1.0.tgz(r-4.3-emscripten)
slimrec.pdf |slimrec.html✨
slimrec/json (API)
| # Install 'slimrec' in R: |
| install.packages('slimrec', repos = c('https://talegari.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/talegari/slimrec/issues
- ft_explicit - Filmtrust explicit dataset
- ft_implicit - Filmtrust implicit dataset
- ft_small - Filmtrust small dataset
Last updated 8 years agofrom:a328863f44. Checks:OK: 1 WARNING: 6. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 04 2024 |
| R-4.5-win | WARNING | Nov 04 2024 |
| R-4.5-linux | WARNING | Nov 04 2024 |
| R-4.4-win | WARNING | Nov 04 2024 |
| R-4.4-mac | WARNING | Nov 04 2024 |
| R-4.3-win | WARNING | Nov 04 2024 |
| R-4.3-mac | WARNING | Nov 04 2024 |
Exports:slimtop_colstop_rowstune_slim
Dependencies:assertthatBHbigmemorybigmemory.sricodetoolsforeachglmnetiteratorslatticeMatrixpbapplyRcppRcppEigenshapesurvivaluuid
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| slimrec | slimrec-package slimrec |
| filmtrust explicit dataset | ft_explicit |
| filmtrust implicit dataset | ft_implicit |
| filmtrust small dataset | ft_small |
| slim | slim |
| top_cols | top_cols |
| top_rows | top_rows |
| tune_slim | tune_slim |
