How Machine Learning Can Transform Online Dating

First time accepted submitter hrb1979 writes "Thought I'd share an interview with Kang Zhao — the professor behind the machine learning algorithm which could transform online dating. His algorithm takes into account both a user's tastes (in an approach similar to the Netflix recommendation engine) and their attractiveness (by analyzing how many responses they get) — enabling the machine to 'learn' and hence propose higher potential matches. His research was recently covered in both a Forbes' article and the MIT Technology Review, though this interview provides more depth and color."

Comments

Re:Not the algorithm we need

[TheloniousToady]

What we need is an algorithm to convince people to lower their expectations when they're unattractive, boring, unmannerly, old, poor and/or cheap, have baggage, etc.

Don't they already have that algorithm up and working here at Slashdot?

I prefer this formula; it's more honest

[tekrat]

The perfect formula for matchmaking:

Males: Enter income.
Females: Enter attractiveness.

Match up most attractive to highest earners.