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.
Emily Hosie, CEO of Rebelstork, explains the concept of Returns Recommerce, plus how her company raised $18M to address the industry-wide issue of returns.
Steven Overly, Host of Politico Tech, talks to Dave Briggs about the key takeaways from Joe Rogan's interview with Mark Zuckerberg, all under 20 minutes. Watch!
Abrar Al-Heeti, Tech Reporter at CNET, explains what will happen if and when the TikTok app is banned in the United States. Plus, who may buy it? Watch!
Chris Lafakis, Director at Moody's Analytics, discusses how home insurance may change as a result of the devastation in California brought on by the LA fires.
Brian Rosen, Founder and CEO of InvestBev, discusses what the Surgeon General’s new Advisory on Alcohol and Cancer Risk means for the adult beverage business.
Damage from the Los Angeles inferno is setting records—and it's not over. Plus, rate-cut drama, the battle over Greenland, and Zuckerberg bends the knee.