The social news website Digg has finally announced it would be rolling out its Recommendation Engine later on this week.

Digg.com has become a very important web site because of its goal and means: every user is allowed to submit news stories, which can then be promoted to the front page through a user-based ranking system. It started out in 2004 as an experiment and has been since then in a continuous growth, which has made it an important site to advertise on.

According to Digg, about 16,000 stories are sent to the website daily and http://digg.com/ is becoming increasingly difficult to use.

Kevin Rose explained on the official Digg blog the way this new feature functions: by following a user’s "past digging activity," Diggers Like You and "stories you might like" are identified.

While this feature will be very useful for Digg heavyweights, who have totaled hundreds of story recommendations, newcomers won’t find it equally helpful, at least for a while. As Anton Kast, Digg’s lead scientist, said, when someone has 0 diggs, the website has no information on the user, therefore a customized display cannot be produced; once the first digg is recorded, things can start moving along and, as the number increases, the better the engine works. Bottom line: when you decide to visit this particular website, digg around a bit; it will do you good.

The beta version of the feature is to be launched this week.