{"id":23047339,"url":"https://github.com/aurelienmorgan/edx-movielens","last_synced_at":"2025-04-03T02:45:08.953Z","repository":{"id":236245428,"uuid":"187209017","full_name":"aurelienmorgan/edx-movielens","owner":"aurelienmorgan","description":"Product Recommender Engine - Use Case: 'The MovieLens 10M dataset'","archived":false,"fork":false,"pushed_at":"2020-09-09T07:44:25.000Z","size":13381,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"master","last_synced_at":"2025-02-08T17:09:32.498Z","etag":null,"topics":["bagging","caret","collaborative-filtering","cross-validation","intel-mkl-library","k-nearest-neighbors","matrix-factorization","microsoft-r-open","pca","primary-component-analysis","r","rcpp"],"latest_commit_sha":null,"homepage":"","language":"R","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/aurelienmorgan.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null}},"created_at":"2019-05-17T12:02:09.000Z","updated_at":"2020-09-18T11:36:39.000Z","dependencies_parsed_at":"2024-04-26T09:37:40.411Z","dependency_job_id":null,"html_url":"https://github.com/aurelienmorgan/edx-movielens","commit_stats":null,"previous_names":["aurelienmorgan/edx-movielens"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aurelienmorgan%2Fedx-movielens","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aurelienmorgan%2Fedx-movielens/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aurelienmorgan%2Fedx-movielens/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aurelienmorgan%2Fedx-movielens/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/aurelienmorgan","download_url":"https://codeload.github.com/aurelienmorgan/edx-movielens/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":246927808,"owners_count":20856193,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["bagging","caret","collaborative-filtering","cross-validation","intel-mkl-library","k-nearest-neighbors","matrix-factorization","microsoft-r-open","pca","primary-component-analysis","r","rcpp"],"created_at":"2024-12-15T22:32:47.634Z","updated_at":"2025-04-03T02:45:08.928Z","avatar_url":"https://github.com/aurelienmorgan.png","language":"R","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Product Recommender Engine\n## Use Case: 'The MovieLens 10M dataset'\n\n\u003chr /\u003e\n\n\u003csmall\u003eView the complete 17 pages PDF report (+ appendices)\n\u003ca alt=\"CNN in R pdf report\" href=\"https://nbviewer.jupyter.org/github/aurelienmorgan/edx-movielens/blob/master/Report.pdf\" target=\"_blank\"\u003ehere\u003ca\u003e.\u003c/small\u003e\n\n\n\u003cu\u003efiles that constitute that repository\u003c/u\u003e\u0026nbsp;:\n\n- **Report.Rmd** : portable rmarkdown script file to generate the report pdf.\n\n- **algorithm.R** : entire source code for the algorithm described in the report.\n\n- **validation_prediction\\submission.csv** : rating predictions on the validation dataset\n\n\n\n\nKEYWORDS :\n\t```Collaborative Filtering```, ```K nearest neighbors```, ```Primary Components Analysis (PCA)```\n\t, ```Cross Validation```, ```Bagging```\n\t, ```R```, ```RCPP```, ```Microsoft R Open```, ```Intel MKL```","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Faurelienmorgan%2Fedx-movielens","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Faurelienmorgan%2Fedx-movielens","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Faurelienmorgan%2Fedx-movielens/lists"}