{"action":"opened","issue":{"url":"https://api.github.com/repos/apple/turicreate/issues/250","repository_url":"https://api.github.com/repos/apple/turicreate","labels_url":"https://api.github.com/repos/apple/turicreate/issues/250/labels{/name}","comments_url":"https://api.github.com/repos/apple/turicreate/issues/250/comments","events_url":"https://api.github.com/repos/apple/turicreate/issues/250/events","html_url":"https://github.com/apple/turicreate/issues/250","id":295116429,"number":250,"title":"Are recommender models getting better over time when using them?","user":{"login":"ubuntudroid","id":519867,"avatar_url":"https://avatars1.githubusercontent.com/u/519867?v=4","gravatar_id":"","url":"https://api.github.com/users/ubuntudroid","html_url":"https://github.com/ubuntudroid","followers_url":"https://api.github.com/users/ubuntudroid/followers","following_url":"https://api.github.com/users/ubuntudroid/following{/other_user}","gists_url":"https://api.github.com/users/ubuntudroid/gists{/gist_id}","starred_url":"https://api.github.com/users/ubuntudroid/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/ubuntudroid/subscriptions","organizations_url":"https://api.github.com/users/ubuntudroid/orgs","repos_url":"https://api.github.com/users/ubuntudroid/repos","events_url":"https://api.github.com/users/ubuntudroid/events{/privacy}","received_events_url":"https://api.github.com/users/ubuntudroid/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":0,"created_at":"2018-02-07T12:17:42Z","updated_at":"2018-02-07T12:17:42Z","closed_at":null,"author_association":"NONE","body":"I'm a real beginner in the area of ML so please bear with me: I searched the documentation, but couldn't find a real answer on whether the recommender models trained with Turi Create are getting better over time when I'm using them to recommend. Personally I doubt it, cause I'm not seeing any way to feed back information whether a recommendation was good or not. On the other hand there is a way to pass observation data to the `recommend()` function, so at least that could in theory be used to extend and improve the model, right?\r\n\r\nSo in the end the question would be: do I have to retrain the whole model on the old + new data to get an improved model?"}}
{"actor":{"display_login":"ubuntudroid"}}