Creating the Perfect Match with eharmony's Machine Learning
eHarmony uses top technologies like machine learning to create matches and potential dates for users based on a compatibility questionnaire. Alyssa Julya Smith went to the company's headquarters in Los Angeles to chat with head of engineering Prateek Jain to find out how the company does it and what sets eHarmony apart from other dating sites.
Jain explains that eHarmony uses a three step process. The first process is the basics of what you want, the second is eHarmony's "secret sauce" which is compatibility matching, and the third is machine learning.
He explains that machine learning allows the site to understand a users likes and dislikes as you increasingly interact with the site and show your preferences based on your activity. He says it's not just about compatibility, but also what you like and prefer.
Finally, Jain talks about what eHarmony is doing to innovate the dating industry. He talks about tools that machine learning is revealing that will allow the site to help users put forward their best selves.
The FDRA is a trade association that supports nearly 500 brands worldwide including Nike, Adidas, Walmart, and Target and represents over 90% of US shoe sales.
Lead Analyst at TVREV, Alan Wolk, joins Cheddar to discuss the latest in media and business news, including why business at the box office may be slowing down.
With stubborn inflation sticking at about 2.8%, there’s a chance that the Fed won’t cut rates this year. That might be the smarter choice in the long run.
The health and wellness industry is booming, expected to hit $14 trillion by 2032. Equinox teamed up with Function Health to revolutionize health optimization.
Featherie, a line of sustainable and functional golf wear for girls, fills a void in the market, catering to the increasing number of female junior golfers.