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.
Ahead of the release of October's consumer inflation data Tuesday, you may notice changes from the Bureau of Labor Statistics. When it comes to how it estimates health insurance costs, the move is expected to give a boost to the U.S. inflation measure which will reverse a trend that has provided some relief.
A handful of retailers will report earnings this week, including Home Depot, Target, Walmart and Macy's, as gas prices peaked in September to the end of this latest quarter while borrowing costs remain at their highest levels in decades.
