PROCEEDINGS OF THE ITE WINTER ANNUAL CONVENTION
Online ISSN : 2424-2306
Print ISSN : 1343-4357
ISSN-L : 1343-4357
PROCEEDINGS OF THE 2016 ITE WINTER ANNUAL CONVENTION
Conference information

Analysis of People’s Attractiveness in Dating Activities by Machine Learning
*Xiaoxue ZANGToshihiko YAMASAKIKiyoharu AIZAWATetsuhiro NAKAMOTOEitaro KUWABARAShinichi EGAMIYusuke FUCHIDA
Author information
CONFERENCE PROCEEDINGS OPEN ACCESS

Pages 13C-5-

Details
Abstract
Online dating is a popular way to search for a partner for marriage. Based on data from dating website, we propose an approach to evaluate people’s objective attractiveness. We predict people’s attractiveness by SVR, based on people’s profiles. The experimental results have shown high correlations between our predicted attractiveness scores and their real values.
Content from these authors
© 2016 The Institute of Image Information and Television Engineers
Previous article Next article
feedback
Top