This paper focus on an area with a surprising lack of published work: matchmaking as a typical application for recommender systems.
The researchers of this study described a recommender system they implemented and performed a quantitative comparison of two collaborative filtering (CF) and two global algorithms.
“We tried to do it and we couldn’t do it,” Joel says.
“Dating can be hard and anxiety provoking and there’s a market there for a short cut. What if you could skip to the part where you click with someone?
But our data suggests that, at least with the tools we currently have available, there isn’t an easy fix for finding love.” Despite the research team’s findings, large matchmaking companies like e Harmony have and continue to use machine learning as part of their matchmaking process.
You can use these relationship and dating statistics guide your dating behaviors and understand the trends in modern romance. These dating statistics tell us what women are looking for and what they’re attracted to, helping you know what to work on and how to make the best impression.
Just as important as knowing what women like is knowing the turn offs for women that you want to avoid.
He has learned that, on a purely economical terms, one will have a better chance of meeting their true soul mate by searching through online dating profiles than going on several dates.