The Digg Video Recommender -- i data

Here's the thing about the Internet: there's a lot of it and not everything is gold. The job of a news aggregator is to sort through each day's daily dose of Internet and choose the most interesting and relevant stories and videos for you people. Different sites have taken different approaches to this problem; Google News uses its algorithms to deliver a personalized homepage, Reddit uses upvotes and downvotes to deliver the freshest stream of dog photos and entertaining AskReddit topics. Here at Digg, we use humans because our goal is not to recommend lots of good things, but to surface a small amount of the very best things. And while algorithms are good at lots of things, we think that humans have the advantage at recognizing this type of content. However, algorithms are useful when we need to make lots of decisions about what to show you, and this problem arises on our video pages.