Feeds 2.0 is a Web 2.0 personalized RSS aggregator.
It incorporates a learning engine so that it does much more than show posts as they come in. Instead, it prioritizes incoming information according to the user's interests! Traditional RSS readers just don't work efficiently since in a flood of information it can be hard to find important and interesting news. For example, feeds that post frequently, tend to dominate posts. Sources that post less frequently might be buried much deeper. Feeds 2.0 ranks the feeds according to the user's preferences and brings interesting articles in the first couple of pages. Feeds 2.0 utilizes an advanced computational intelligence personalization learning engine. With personalization the system ranks the feeds according to sources a particular user likes, authors and topics he's interested in, and brings interesting articles first. These are ranked by a score the system has assigned based on what has learned about the user's preferences. The system creates a dynamic profile of the topics the user likes and the sources he reads most. It actually begins to learn immediately from the first couple of clicks in order to figure out the user's preferences but obviously the more he uses it the better it gets.