{"id":15350502,"url":"https://github.com/takuti/stream-recommender","last_synced_at":"2026-03-04T21:02:31.626Z","repository":{"id":41092820,"uuid":"48603478","full_name":"takuti/stream-recommender","owner":"takuti","description":"Experiments of item recommendation in a streaming environment","archived":false,"fork":false,"pushed_at":"2018-02-22T19:45:52.000Z","size":7033,"stargazers_count":15,"open_issues_count":0,"forks_count":2,"subscribers_count":4,"default_branch":"master","last_synced_at":"2025-04-15T04:17:40.975Z","etag":null,"topics":["factorization","machine-learning","python","recommender-system","research"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","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/takuti.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}},"created_at":"2015-12-26T07:45:01.000Z","updated_at":"2024-11-07T04:26:02.000Z","dependencies_parsed_at":"2022-07-30T21:08:07.682Z","dependency_job_id":null,"html_url":"https://github.com/takuti/stream-recommender","commit_stats":null,"previous_names":[],"tags_count":6,"template":false,"template_full_name":null,"purl":"pkg:github/takuti/stream-recommender","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/takuti%2Fstream-recommender","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/takuti%2Fstream-recommender/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/takuti%2Fstream-recommender/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/takuti%2Fstream-recommender/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/takuti","download_url":"https://codeload.github.com/takuti/stream-recommender/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/takuti%2Fstream-recommender/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":30092873,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-03-04T20:42:30.420Z","status":"ssl_error","status_checked_at":"2026-03-04T20:42:30.057Z","response_time":59,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.5:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"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":["factorization","machine-learning","python","recommender-system","research"],"created_at":"2024-10-01T11:58:34.242Z","updated_at":"2026-03-04T21:02:31.608Z","avatar_url":"https://github.com/takuti.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"Item Recommendation in a Streaming Environment\n===\n\nThis repository discloses implementation used in the following research papers:\n\n- T. Kitazawa. **[Incremental Factorization Machines for Persistently Cold-Starting Online Item Recommendation](https://arxiv.org/abs/1607.02858)**. arXiv:1607.02858 [cs.LG], July 2016.\n- T. Kitazawa. **[Sketching Dynamic User-Item Interactions for Online Item Recommendation](http://dl.acm.org/citation.cfm?id=3022152)**. In *Proc. of CHIIR 2017*, March 2017.\n\nRecommendation algorithms are implemented in [FluRS](https://github.com/takuti/flurs/tree/0.0.1), a Python library for online item recommendation tasks.\n\n## Usage\n\n\t$ python experiment.py -f path/to/config/file.ini\n\nExamples of config files are available at: [config/](config/)\n\nThe results will be written text files under *results/*.","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftakuti%2Fstream-recommender","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ftakuti%2Fstream-recommender","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftakuti%2Fstream-recommender/lists"}