System and method for identifying romantically compatible subjects
First Claim
1. A computer implemented matching method, for matching a user with one or more other romantically compatible users of the method, operable on a server comprising a processor and memory and connected to a network, comprising:
- prompting user to upload personal photograph of self;
prompting user to indicate whether he or she would like a personality analysis run on profile photograph;
prompting user to indicate locational preference and geographic proximity to desired matches;
receiving an image of user;
receiving answers to a personality profile from an analysis of personality determined by facial features;
generate a personality score for user based on facial characteristics;
performing a facial recognition process on the image and storing the result of the process on the server as a template on a unique server with the intention of the using as a reference to match, with a baseline template of the aesthetic preferences of other users;
receiving a template image comprising an image of a human face and storing a result of the process on the server for matching with other users of the method;
presenting a field of thumbnail images of other user'"'"'s of the methods photographs to user;
user is expected to choose photographs of other users of the method out of field, most likely thumbnails on a mobile device;
performing facial recognition processes on the chosen faces and creating a template for each including additional data such as ordinal choice in field, time between screen populated and choice, time between second choice, third number of choices per screen and number of pictures actually chosen and storing the process on the server;
create baseline template for a user'"'"'s aesthetic ideal using a facial recognition morphing function using all chosen pictures;
weighting each picture according to above measures, ordinal, time, range, so that morphing function creates a more accurate baseline facial template;
applying the following binomial regression equation to each subsequent template to determine predictability of;
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Abstract
A computer implemented matching method for matching a user with one or more romantically compatible users of the method. In one example the method comprises: receiving a profile generated by recording user choices from a field of images displayed to the user; applying a logistics regression model to the image choices to determine compatibility between two users. Creating a baseline template of the user'"'"'s aesthetic preferences then applying this model to templates created from other users of the method. Any results within a desired confidence level are returned to the user. For mutual compatibility the user'"'"'s own image is compared to that of the query'"'"'s preference template to determine the presence of mutually compatible aesthetic attraction. Users can also use facial recognition to run personality test on themselves or potential matches to determine a if there is personality compatibility to the combination as well.
43 Citations
3 Claims
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1. A computer implemented matching method, for matching a user with one or more other romantically compatible users of the method, operable on a server comprising a processor and memory and connected to a network, comprising:
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prompting user to upload personal photograph of self; prompting user to indicate whether he or she would like a personality analysis run on profile photograph; prompting user to indicate locational preference and geographic proximity to desired matches; receiving an image of user; receiving answers to a personality profile from an analysis of personality determined by facial features; generate a personality score for user based on facial characteristics; performing a facial recognition process on the image and storing the result of the process on the server as a template on a unique server with the intention of the using as a reference to match, with a baseline template of the aesthetic preferences of other users; receiving a template image comprising an image of a human face and storing a result of the process on the server for matching with other users of the method; presenting a field of thumbnail images of other user'"'"'s of the methods photographs to user; user is expected to choose photographs of other users of the method out of field, most likely thumbnails on a mobile device; performing facial recognition processes on the chosen faces and creating a template for each including additional data such as ordinal choice in field, time between screen populated and choice, time between second choice, third number of choices per screen and number of pictures actually chosen and storing the process on the server; create baseline template for a user'"'"'s aesthetic ideal using a facial recognition morphing function using all chosen pictures; weighting each picture according to above measures, ordinal, time, range, so that morphing function creates a more accurate baseline facial template; applying the following binomial regression equation to each subsequent template to determine predictability of; - View Dependent Claims (2, 3)
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Specification