{"id":13396377,"url":"https://github.com/GHamrouni/Recommender","last_synced_at":"2025-03-13T23:30:53.698Z","repository":{"id":2155909,"uuid":"3101244","full_name":"GHamrouni/Recommender","owner":"GHamrouni","description":"A C library for product recommendations/suggestions using collaborative filtering (CF)","archived":false,"fork":false,"pushed_at":"2022-07-19T15:21:25.000Z","size":78883,"stargazers_count":264,"open_issues_count":1,"forks_count":64,"subscribers_count":31,"default_branch":"master","last_synced_at":"2024-07-31T18:17:11.242Z","etag":null,"topics":["c","collaborative-filtering","machine-learning","recommendation-engine"],"latest_commit_sha":null,"homepage":"","language":"C","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"bsd-2-clause","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/GHamrouni.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":"CODE_OF_CONDUCT.md","threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2012-01-04T10:40:16.000Z","updated_at":"2024-06-15T06:46:01.000Z","dependencies_parsed_at":"2022-09-20T07:02:24.341Z","dependency_job_id":null,"html_url":"https://github.com/GHamrouni/Recommender","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/GHamrouni%2FRecommender","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/GHamrouni%2FRecommender/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/GHamrouni%2FRecommender/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/GHamrouni%2FRecommender/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/GHamrouni","download_url":"https://codeload.github.com/GHamrouni/Recommender/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":243499861,"owners_count":20300705,"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":["c","collaborative-filtering","machine-learning","recommendation-engine"],"created_at":"2024-07-30T18:00:48.584Z","updated_at":"2025-03-13T23:30:53.322Z","avatar_url":"https://github.com/GHamrouni.png","language":"C","funding_links":[],"categories":["C","Machine Learning","C语言","进程间通信","机器学习"],"sub_categories":["Tools","[Tools](#tools-1)","机器学习"],"readme":"Recommender [![Build Status](https://secure.travis-ci.org/GHamrouni/Recommender.png)](http://travis-ci.org/GHamrouni/Recommender)\n=======================\n\n[![GitHub stars](https://img.shields.io/github/stars/GHamrouni/Recommender.svg)](https://github.com/GHamrouni/Recommender/stargazers)\n[![GitHub license](https://img.shields.io/github/license/GHamrouni/Recommender.svg)](https://github.com/GHamrouni/Recommender/blob/master/LICENSE)\n[![Language grade: C/C++](https://img.shields.io/lgtm/grade/cpp/g/GHamrouni/Recommender.svg?logo=lgtm\u0026logoWidth=18)](https://lgtm.com/projects/g/GHamrouni/Recommender/context:cpp)\n\nA C library for product recommendations/suggestions using collaborative filtering (CF).\n\nRecommender analyzes the feedback of some users (implicit and explicit) and their \npreferences for some items. It learns patterns and predicts the most suitable products \nfor a particular user.\n\nFeatures\n--------\n * Collaborative Filtering\n * User and Item based recommenders\n * No external dependencies \n * Fast running time ~ 81 seconds for 10 million ratings (on MovieLens Data Sets)\n * Memory footprint under 160 MB for 10 million ratings\n\nWebpage\n--------\nhttp://ghamrouni.github.com/Recommender/\n\nBuilding\n--------\nTo compile Recommender:\n\n    make\n\nThe compilation will produce libRecommender.a\n\nTo compile an example:\n\n    gcc test/test.c src/libRecommender.a -lm -o test/t1 -I src/\n\nAlternatively you can use clang\n\n    clang test/test.c src/libRecommender.a -lm -o test/t1 -I src/\n\n\nKeywords\n--------\nCollaborative filtering, recommender system\n\nReferences\n--------\n1. http://en.wikipedia.org/wiki/Recommendation_system\n1. http://public.research.att.com/~volinsky/netflix/kdd08koren.pdf\n1. http://research.yahoo.com/files/ieeecomputer.pdf\n\n\n\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FGHamrouni%2FRecommender","html_url":"https://awesome.ecosyste.ms/projects/github.com%2FGHamrouni%2FRecommender","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FGHamrouni%2FRecommender/lists"}