Engineers try to get to the heart of true love
eHarmony recruits two USC data scientists to break down the hidden factors that result in long-lasting relationships
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If youre looking for true love and believe your soul mate is out there, two USC researchers may be able to help.
Aram Galstyan and Greg Ver Steeg of the USC Information Sciences Institute are using methods inspired by quantum physics to improve the matchmaking algorithms that run eHarmony, one of the countrys most successful online dating sites.
Essentially, were trying to get to the hidden factors that result in long, happy relationships, said Ver Steeg, part of the faculty in the Department of Computer Science at the USC Viterbi School of Engineering along with Galstyan. It works not just in quantum physics, but also in human behavior.
Essentially, were trying to get to the hidden factors that result in long, happy relationships.
Greg Ver Steeg
eHarmony is responsible for nearly 5 percent of U.S. marriages, according to company stats. In all, 438 people tie the knot every day with the help of the companys algorithms. In a study published in 2012, the divorce rate of married couples that met on eHarmony was roughly 50 percent of those who met in any other way. This means youre significantly more likely to divorce if you and your spouse didnt meet on eHarmony.
As impressive as this sounds, eHarmony data scientists dont believe they are doing their jobs if all they do is bring people together. They want to create an experience and build a foundation for long-term happiness.
The problem is that none of the things human beings do are neatly ordered and easily predictable, especially when it comes to love. The best eHarmony can do is give you an exhaustive psychometric assessment known as the relationship questionnaire.
The data mined from your answers create a personality profile, which is filtered through compatibility models collected from years of marriage research and thousands of sampled couples, from happy, successful relationships to meh and block this contact ones.
Pairings happen every night during a magical hour called the nightly match run. Pop open your email in the morning and voilà the attractive faces of psychologically compatible partners are waiting to meet you.
Jonathan Morra, who leads eHarmonys data science, machine learning and predictive modeling teams, and Jonathan Beber, a research scientist who leads the design of eHarmonys questionnaire, approached the ISI duo with a long-standing problem: how to reduce the relationship questionnaire.
No user likes to sit at their computer and take hundreds of questions.
No user likes to sit at their computer and take hundreds of questions, Beber said. But we feel we have to ask that much to assess your personality type. Greg and his team are helping us figure out what is the minimum amount of questions we can ask without losing the predictive power in our compatibility models.
Added Galstyan: Its an interesting optimization problem. What started out with some 500 questions has become 145 questions over time. What if we could get 99 percent of that information with, lets say, only 50 questions? What are those questions, and what is that trade-off?
Galstyan and Ver Steeg boiled down the questionnaire with a process called correlation explanation, or CorEx. Over the years, they have used CorEx to unearth hidden factors in a host of problems, from unsolved gang-related crimes to mapping brain activity and predicting online extremism.
The idea behind CorEx, Ver Steeg said, is to ask what are the hidden factors that explain correlations in the data. For example, how different parts of your brain light up at the same time or the way you answer question A always predicts the way you answer question B. It could be anything.
Galstyan and Ver Steeg then look closely at that data and begin to peel away its underlying structure. Strong connections emerge.
Consider these questions, for example: Are you generous? Are you affectionate? Do you try to accommodate the other persons point of view? These show up all together in one group. Theres a hidden factor that explains why they are related. Instead of asking you a hundred questions that are all related, they zero in on one hidden trait: being genuine and caring. If you score highly on this factor, theres a very high probability that it includes all these other qualities.
These hidden factors themselves are interrelated and reveal higher-level patterns in the data, Galstyan explained. Answers to questions like, how important is it that a serious relationship needs to be exclusive, and do you think being monogamous causes relationships to be boring over time, reveal something about how caring, empathetic and generous you are.
This hidden factor of empathy also influences your answer to this next question:
How important is your partners physical appearance?
At the end of the day, love is quantifiable, said Beber, who is also interested in measuring attraction based on users profile pictures, that is, what your facial expressions in photos say about your personality.
The power of science
When you think about it, it makes sense that love would lend itself to mathematics. Love, like all of life, is full of patterns. Its no surprise that engineers are helping us make one of lifes hardest, often most irrational, emotional decisions with the power of science and Big Data.
Someone who goes to an online dating service like eHarmony is saying to themselves, I have to find the right person to spend my life with, Ver Steeg said. Its really hard. There are billions of people in the world. How can I shorten the list?