https://github.com/aurelienmorgan/edx-movielens
Product Recommender Engine - Use Case: 'The MovieLens 10M dataset'
https://github.com/aurelienmorgan/edx-movielens
bagging caret collaborative-filtering cross-validation intel-mkl-library k-nearest-neighbors matrix-factorization microsoft-r-open pca primary-component-analysis r rcpp
Last synced: about 1 year ago
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Product Recommender Engine - Use Case: 'The MovieLens 10M dataset'
- Host: GitHub
- URL: https://github.com/aurelienmorgan/edx-movielens
- Owner: aurelienmorgan
- Created: 2019-05-17T12:02:09.000Z (about 7 years ago)
- Default Branch: master
- Last Pushed: 2020-09-09T07:44:25.000Z (almost 6 years ago)
- Last Synced: 2025-02-08T17:09:32.498Z (over 1 year ago)
- Topics: bagging, caret, collaborative-filtering, cross-validation, intel-mkl-library, k-nearest-neighbors, matrix-factorization, microsoft-r-open, pca, primary-component-analysis, r, rcpp
- Language: R
- Homepage:
- Size: 12.8 MB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Product Recommender Engine
## Use Case: 'The MovieLens 10M dataset'
View the complete 17 pages PDF report (+ appendices)
here.
files that constitute that repository :
- **Report.Rmd** : portable rmarkdown script file to generate the report pdf.
- **algorithm.R** : entire source code for the algorithm described in the report.
- **validation_prediction\submission.csv** : rating predictions on the validation dataset
KEYWORDS :
```Collaborative Filtering```, ```K nearest neighbors```, ```Primary Components Analysis (PCA)```
, ```Cross Validation```, ```Bagging```
, ```R```, ```RCPP```, ```Microsoft R Open```, ```Intel MKL```