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!
How does it work?
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.
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