Ask HN: could HN threads be upvoted using machine learning?
Could HN threads be upvoted using machine learning based on the comments (read/write behaviors)?
EDIT: in a way that would satisfy the current HN audience of course
EDIT: in a way that would satisfy the current HN audience of course
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.
A major challenge is detecting dupes, follow-on articles and blogspam where the text looks relevant, but the topic has already been covered.
While I see why you see that as interesting, I think that submissions should not be filtered by a computer based on content for quasi-ethic reasons.