eHarmony Bends Its Algorithms To Focus On Career Matchmaking, Launches Elevated Careers
By Steph Tortogo | Apr 05, 2016 11:05 AM EDT
eHarmony wishes to bend its current flow and data science involved in finding partners to career recruitment, ZDNet reported on Friday.
eHarmony thinks that some of the same tools that they use to match two people can also be something that can make compatible companies and employers find each other easily. They just launched a beta version of Elevated Careers which checks the compatibility between employers and job seekers. The general idea is the improvement of the matching process between the two through data science.
According to eHarmony, the data science itself is responsible for 438 marriages every day. The algorithm that the job matching uses assesses a potential employee's personality traits and values then matches them with a culture of a certain company. There are 24 factors that are scientifically matched to encourage satisfaction and performance.
From there, Elevated Careers matches employers and employees based on their skills through a skills fit algorithm; a culture, a measurement of 16 factors aligning values to culture; a personality traits based on eight factors in the relationship matching system of eHarmony. Elevated Careers was developed through partnerships with Simply Hired for job listings and Burning Glass, which focuses and specializes in the estimates od skills compatibility. With Infosys, the prototype was developed in a matter of less than 24 months.
Meanwhile, eHarmony has always been popular for helping people find their match. It is an online dating site which is specifically designed to match singles with each other to help them work on long-term relationships, most of which end up in marriage. The company was founded in the year 2000 in Pasadena, California by psychologist and author of relationship books Neil Clark Warren. He had some help from his son-in-law Greg Forgatch. After about three years of research with Galen Buckwalter, Warren was able to develop a model of compatibility that is now the basis of eHarmony's matching system.
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