{"id":13628214,"url":"https://github.com/opringle/collaborative_filtering","last_synced_at":"2025-04-17T00:33:46.919Z","repository":{"id":119618163,"uuid":"126121867","full_name":"opringle/collaborative_filtering","owner":"opringle","description":"A repository to experiment building state of the art recommender systems using apache MXNet","archived":false,"fork":false,"pushed_at":"2018-05-17T04:53:25.000Z","size":15064,"stargazers_count":2,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2024-08-01T22:42:04.281Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Python","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/opringle.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,"publiccode":null,"codemeta":null}},"created_at":"2018-03-21T04:09:33.000Z","updated_at":"2019-10-28T11:59:47.000Z","dependencies_parsed_at":null,"dependency_job_id":"1f48b885-0854-4308-86cb-7567e9d98284","html_url":"https://github.com/opringle/collaborative_filtering","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/opringle%2Fcollaborative_filtering","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/opringle%2Fcollaborative_filtering/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/opringle%2Fcollaborative_filtering/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/opringle%2Fcollaborative_filtering/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/opringle","download_url":"https://codeload.github.com/opringle/collaborative_filtering/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":223735351,"owners_count":17194083,"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":[],"created_at":"2024-08-01T22:00:48.550Z","updated_at":"2024-11-08T18:31:37.231Z","avatar_url":"https://github.com/opringle.png","language":"Python","readme":"# Deep Learning Recommender Systems\n\nA repository to experiment building recommender systems using apache MXNet.\n\n## Repo structure\n\n- `/data` directory used for storing model input data\n- `/libs` python modules used by model training script\n- `./recysys.py` trains the recommender system \n- `./results` directory used for storing model reports and results\n- `./docs`: research notes etc\n\n## Running the code\n\n1. Clone this repo and cd to root\n2. Download, unzip and store the ratings data:\n    1. `$ mkdir data`\n    2. `$ wget 'http://files.grouplens.org/datasets/movielens/ml-1m.zip'` \n    3. `$ unzip -a ml-1m.zip`\n    4. `$ mv ./ml-1m/ratings.dat ./data/`\n    5. `$ rm -rf ml-1m`\n    6. `$ rm ml-1m.zip`\n6. Train the model: `$ python recsys.py`\n\n## ToDo\n  \n- [ ] Use normal data iterators with data in memory\n- [ ] Use callback functions to reproduce HR@K plots\n","funding_links":[],"categories":["\u003ca name=\"CTR\"\u003e\u003c/a\u003e7. CTR","\u003ca name=\"CTR\"\u003e\u003c/a\u003e6. CTR"],"sub_categories":["2.14 Misc"],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fopringle%2Fcollaborative_filtering","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fopringle%2Fcollaborative_filtering","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fopringle%2Fcollaborative_filtering/lists"}