Title
Collaborative filtering with facial expressions for online video recommendation
Abstract
•We propose a procedure for online video recommendation based on users facial expressions.•The proposed procedure addresses a user’s preference changes often observed while the user watches a video.•The proposed procedure addresses the new user problem.•Experiment results show that the proposed procedure produces better prediction accuracy than other benchmark systems.
Year
DOI
Venue
2016
10.1016/j.ijinfomgt.2016.01.005
International Journal of Information Management
Keywords
DocType
Volume
Online video recommender system,Facial expression,Personalization,Collaborative filtering
Journal
36
Issue
ISSN
Citations 
3
0268-4012
1
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Il Young Choi11877.08
Myung Geun Oh210.34
Jae Kyeong Kim3101152.32
Young U. Ryu439034.23