{"action":"opened","issue":{"url":"https://api.github.com/repos/lyst/lightfm/issues/274","repository_url":"https://api.github.com/repos/lyst/lightfm","labels_url":"https://api.github.com/repos/lyst/lightfm/issues/274/labels{/name}","comments_url":"https://api.github.com/repos/lyst/lightfm/issues/274/comments","events_url":"https://api.github.com/repos/lyst/lightfm/issues/274/events","html_url":"https://github.com/lyst/lightfm/issues/274","id":305850085,"number":274,"title":"Can lightfm be used in pyspark RDD-based for distributed clusters in big data framework?","user":{"login":"viciaky","id":26949235,"avatar_url":"https://avatars2.githubusercontent.com/u/26949235?v=4","gravatar_id":"","url":"https://api.github.com/users/viciaky","html_url":"https://github.com/viciaky","followers_url":"https://api.github.com/users/viciaky/followers","following_url":"https://api.github.com/users/viciaky/following{/other_user}","gists_url":"https://api.github.com/users/viciaky/gists{/gist_id}","starred_url":"https://api.github.com/users/viciaky/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/viciaky/subscriptions","organizations_url":"https://api.github.com/users/viciaky/orgs","repos_url":"https://api.github.com/users/viciaky/repos","events_url":"https://api.github.com/users/viciaky/events{/privacy}","received_events_url":"https://api.github.com/users/viciaky/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":0,"created_at":"2018-03-16T09:07:20Z","updated_at":"2018-03-16T09:07:20Z","closed_at":null,"author_association":"NONE","body":"Hi , i noticed that in Spark Mlib RDD-based API only have Collaborative Filtering(ALS) for building recommendation engine. And i want to use this fantastic lightfm in pyspark, but i am not sure how to use it in terms of RDD-based. Does that mean i should modify lightfm source code to fit with RDD configuration?\r\nCan you give me some advice on that? \r\nThank you very much~! : )"}}
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