USER-BASED COLLABORATIVE FILTERING RECOMMENDATION SYSTEM AND METHOD FOR AMENDING SIMILARITY USING INFORMATION ENTROPY
Patent №
US 8,572,017
Granted
2013-10-29
Filed 2010
Owner
SUNGKYUNKWAN UNIVERSITY FOUNDATION FOR CORPORATE COLLABORATION
Lab
—
AI components
6
ml · vision · kr · planning · evo · hardware
Assignment
Recorded
Dataset
AIPD
2023_r1 edition
Application
12692575
The present invention relates to a user-based collaborative filtering recommendation method and system and, more specifically, relates to a user-based collaborative filtering recommendation method and system which amends the similarity between the recommend probable user and the other user to improve the accuracy in the prediction of preference by using the relation between the user preference information entropies of the recommend probable user and the other user.
AI classification
Ownership
SUNGKYUNKWAN UNIVERSITY FOUNDATION FOR CORPORATE COLLABORATION
assignment · 241910606
Assignors
HONG, KWANG SEOK, KWON, HYEONG JOON
On an employer assignment, the assignors are typically the inventors.