There is too much online content which makes it difficult to identify quality content. Current content recommendation systems rely on popularity and behavioral filtering, but this favors established contributors over new voices. A new system called IntelliButler aims to address this by using machine learning to analyze the substance of content itself, allowing it to identify valuable niche content and help build reputations independent of existing popularity or social connections.