How competitive are you: Analysis of people's attractiveness in an online dating system

Abstract

An increasing number of people are using dating websites to search for their life partners. This leads to the curiosity of how attractive a specific person is to the opposite gender on an average level. We propose a novel algorithm to evaluate people's objective attractiveness based on their interactions with other users on the dating websites and implement machine learning algorithms to predict their objective attractiveness ratings from their profiles. We validate our method on a large dataset gained from a Japanese dating website and yield convincing results. Our prediction based on users' profiles, which includes image and text contents, is over 80% correlated with the real values of the calculated objective attractiveness for the female and over 50% correlated with the real values of the calculated objective attractiveness for the male.