Computerized face photograph-based dating recommendation system

Abstract

A computer vision dating system analyzes combinations of face features of the system's user's photographs and recommends potential dating partners. A user selects preferred and not-preferred faces from a sample of other user's pictures. The system analyzes the features of the preferred and not-preferred faces comparing the combinations of features in both categories with the features of other users in the database to find the users that most match the collective features preferred by the user. These pictures are presented to the user. Data from the user's profile input are analyzed to automatically generate the sample pictures from which the user selects his/her preferences. As the users are presented pictures after their sample selection, they can continue to select and reject pictures allowing the system to learn and refine the combinations of features and better locate those that most conform to a user's most preferred photo images.

Dependencies are inferred from the claim text.