LEARNING-BASED RECOMMENDATION SYSTEM INCORPORATING COLLABORATIVE FILTERING AND FEEDBACK

摘要

Computer-implemented methods for providing recommendations for a given user. The computer-implemented method employs some or all of machine learning, collaborative filtering, clustering, profile data from the given user, profile data from other users, feedback data from the given user from past interactions, and feedback data from other users from past interactions to more accurately provide recommendations to the given user.