MASHABLE - July 14 - Match.com started in 1995, online dating was an obscure practice. About three years ago, the company decided to delve into that data to help improve its matches. It brought on current VP of strategy analytics Amarnath Thombre to head up the charge. Since then, he and a team of 12 have been hard at work developing an equation for successful match recommendations. These are the four main components of the equation.
1. What You Say
When you sign up for Match.com, you fill out a survey about yourself, your preferences and what you’re looking for in a partner.
2. What You Do
What people say and what they do don’t always match up.
3. What People Like You Do
Match.com tunes into the behavior of people who are like you.
4. A Bit of History
In 16 years of business, Match.com has collected a mass of data. It uses that data to make some guesses about who you like before you even rate your first match.
I've bought so many Kindle books because of their recommendations. Now Match is doing something similar. Good move.
Posted by: Mark Brooks | Jul 16, 2011 at 11:20 AM