This online dating research study shows some of the conclusions from Dr Jeff Gavin, a psychology lecturer at the University of Bath, who has researched the social science behind dating sites.
This dating research was Gavin’s attemp to find out more about how people develop relationships online.
Why not watch our two minute video to get a flavour of what we offer.
In research on how people read websites we found that 79 percent of our test users always scanned any new page they came across; only 16 percent read word-by-word.
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.
Results showed that collaborative filtering recommenders significantly outperform global algorithms used by dating sites.
Online dating communities are a growing industry tailored specifically to users who are looking for a romantic partner, connection, or encounter.
An international survey of 24,000 men and women who are online found that just 6% went to dating websites in 1997 but by 2009, 30% of the sample had tried them with 15% finding their current partner that way.
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.
In the podcast, he says that “..going out and meeting people is costly and difficult.
We then had users perform the same tasks with the different sites.
As shown in the table, measured usability was dramatically higher for the concise version (58% better) and for the scannable version (47% better).