Digg is rolling out a new recommendation engine this week. The new feature’s goal is to help users discover content from like-minded individuals amid the clutter of the 16k+ stories submitted to Digg.com each day.
You know how when you are browsing Amazon.com and the site suggests related products based on what you are viewing and what you’ve already purchased? This new Digg feature works kind of the same way. It analyzes your previous “diggs,” or stories you’ve voted for, then lets you know what other users with similar tastes have recommended.
If you want to know more, Digg execs Kevin Rose and Anton Kast go into detail about how it works on the Digg blog.
Rose will also probably explain the new feature during his next Diggnation podcast.