SOFTWARE PREFERENCE AFFINITY RECOMMENDATION SYSTEMS AND METHODS

摘要

The present systems and methods relate to a concept for providing recommendations targeted to particular, “subject” user. The present systems and methods involve obtaining historical usage data associated with the subject user; identifying candidate users; calculating media preference overlap scores with respect to the subject user and each candidate user; ranking the candidate user according to their preference overlap scores, and generating recommendations for the subject user from the historical usage data associated with the candidate users.