1. A machine learning system that analyzes tagging behavior, comprising: a segregator component configured to initially perform a determination of an existence of a possible trend of tagging data based on collective user tagging behavior among a plurality of items, the determination including an extraction of one or more tags derived from analysis of the plurality of items to establish the possible trend; a convergence component configured to analyze the possible trend to identify that a predetermined convergence criteria has been met or to establish a criteria for taxonomy purpose based, at least in part, upon tagged items and user tagging behavior relationships between the plurality of items; a recognition component configured to recognize the plurality of items based on aggregate of user tagging behavior associated with the items; and a storage medium that stores recognized items.