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.
Jeff Burnstein, President of the Association for Advancing Automation (A3), discusses humanoid robots, AI, smart manufacturing, and the future of U.S. industry.
Should kids be banned from social media? Nick Lichtenberg of Fortune breaks down the global push to restrict under-16 users and what it means for Big Tech.
Miso Robotics CEO Rich Hull discusses Flippy Fry Station, the future of AI-powered restaurant automation and how acquiring Zume's IP could reshape food robotics
After two years of AI-fueled spending, Wall Street is asking what's next. Gil Luria breaks down monetization, valuations, winners, losers, and AI's future.
FIFA’s soccer World Cup promises to deliver $11.1 billion in spending and $30.5 billion economic impact for the U.S., but how much is it really helping?