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High Confidence Predicted Profiles for Online Dating Matching Using Continuously Learning Machine Learning Models Trained for Each User With Physical and Facial Attributes

US 11,455,827 covers continuously-learning machine learning models that can be trained for each user with physical and facial attributes calculated from facial recognition, "about you" text analyzed by natural language understanding, and/or other preferences, and is available for sale through IPApproach.

US Patents
1 granted
Availability
For Sale

Patents Included

Technology Highlights

  • The invention provides high confidence predicted profiles and increase the likelihood of users "matching" with a vended profile for dating applications.
  • The invention provides continuously-improving Machine Learning which uses a double-model based mechanism.
  • It improves the speed of match making and the accuracy of the match making (from a physical attraction perspective) in dating applications.
  • It improves the user engagement in dating applications.

Overview

IPApproach, LLC is pleased to present the exclusive patent for sale "High Confidence Predicted Profiles For Online Dating Matching Using Continuously Learning Machine Learning Models Trained For Each User With Physical And Facial Attributes" which includes U.S. Granted Patent US 11,455,827 B2. The IP relates to continuously-learning machine learning models that can be trained for each user with physical and facial attributes calculated from facial recognition, "about you" text analyzed by natural language understanding, and/or other preferences.

The technology disclosed provides the following advantages:

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Listing updated August 21, 2026

IPApproach lists patents and portfolios where the seller has not requested anonymity or confidentiality. Patent numbers link to public records on Google Patents.