Richard CanfieldPodcast Host and IBC Advisor, Ascendant Financial · Authorized Infinite Banking Practitioner | Author of 4 Books

Couplr.AI: The Future of Matchmaking Tech

27 Dec 2024 · 1 min

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Speaker (Richard Canfield) frames recommendation engines as an age-old idea (even comparing astrology to a recommendation engine) and explains how modern massive digital data enables learning patterns (when people meet, reasons, success predictors, timing, personality traits). These learnings feed back into Couplr.AI's matching algorithm to improve future matchmaking performance.

Chapters

Recommendation engines, quote, unquote, has been around for thousands of years. Astrology was a recommendation engine, believe it or not. It's been around that long. But how it's being applied to today is we have all this massive digital data. What can we do with it? What can we learn from it? And then we can apply that back, those improvements back into coupler. We're learning when do people meet? Why do they meet? What determines success? How long did it take? What personality traits, all of these different things. And then we can use that to enhance our matching algorithm and then get better at matching people in the future. Future.