DocumentCode
3774427
Title
A novel online product recommendation system based on face recognition and emotion detection
Author
Leo Pauly;Deepa Sankar
Author_Institution
Division Electronics Engineering, School of Engineering, Cochin University of Science and Technology, Kochi -682022, Kerala, India
fYear
2015
Firstpage
329
Lastpage
334
Abstract
This paper presents a novel method for online product recommendation using facial image recognition and emotional feedback for online users. The system detects the faces of the users from the live camera stream along with gender identification and product recommendation algorithms for targeting products to the right user. It also uses an emotion detection technique for getting a feedback about the recommended product. The developed system improves user interaction and can be used in online shopping websites and other places where efficient product recommendation methods are required. It also helps to market products more effectively in a user friendly manner.
Keywords
"Face","Face recognition","Databases","Algorithm design and analysis","Feature extraction","Image recognition","Mathematical model"
Publisher
ieee
Conference_Titel
Control, Instrumentation, Communication and Computational Technologies (ICCICCT), 2015 International Conference on
Type
conf
DOI
10.1109/ICCICCT.2015.7475299
Filename
7475299
Link To Document