Could HN threads be upvoted using machine learning based on the comments (read/write behaviors)?<p>EDIT: in a way that would satisfy the current HN audience of course
By the time threads start getting multiple comments, they've gotten enough exposure from humans to upvote them to the front page if they deserve it.<p>More interesting is to scan new submissions, download the article and run a model to predict whether it's interesting enough to upvote. You can start by scanning old articles and trying to predict votes.<p>A major challenge is detecting dupes, follow-on articles and blogspam where the text looks relevant, but the topic has already been covered.