UI researchers develop better model for recommending online
date prospects
Most online dating users don’t choose a potential mate the
same way they choose a movie to watch, but new research from the University of
Iowa suggests they’d be more amorously successful if that’s how their dating
service operated.
Kang Zhao, assistant professor of management sciences in the
Tippie College of Business, and UI doctoral student Xi Wang are part of a team
that recently developed an algorithm for dating sites that uses a person’s
contact history to recommend more compatible partners. It’s similar to the
model Netflix uses to recommend movies users might like by tracking their
viewing history.