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.
Frank Wilson is a retired teacher with over 30 years of combined experience in the education, small business technology, and real estate business. He now blogs as a hobby and spends most days tinkering with old computers. Wilson is passionate about tech, enjoys fishing, and loves drinking beer.
