Systems and methods for machine learning-enhanced pairing of user search stimuli-to-online digital profile data

Abstract

A system and method for pairing user stimuli-to-online digital profile data includes receiving user stimulus data; computing a classification inference, by a machine learning-based model, based on features extracted from the user stimulus data, wherein the classification inference includes a machine learning-based classification label identified from a plurality of digital profile subdomain classification labels; constructing a digital profile search query, wherein constructing the digital profile search query includes: deriving a digital profile search parameter based on the machine learning-based classification label, and defining the digital profile search query using the digital profile search parameter; executing the digital profile search query, wherein executing the digital profile search query includes: searching a corpus of digital profile data based on the digital profile search parameter; and selectively pairing the digital profile search query to digital profiles of the corpus of digital profile data based on the search parameter; and displaying the digital profiles.

We claim: 
     
         1 . A method for machine learning-informed pairings of user stimuli-to-online digital profile data, the method comprising:
 receiving, via a user interface, user stimulus data associated with a user input;   computing, by one or more machine learning-based classification models, one or more classification inferences based on one or more features extracted from the user stimulus data, wherein the one or more classification inferences comprise one or more machine learning-based classification labels identified from a plurality of distinct digital profile subdomain classification labels;   automatically constructing, by one or more computers, a digital profile search query, wherein constructing the digital profile search query includes defining the digital profile search query based on, at least, the one or more machine learning-based classification labels;   automatically executing, by the one or more computers, the digital profile search query, wherein the executing of the digital profile search query includes searching a digital profile database and selectively pairing the digital profile search query to one or more digital profiles of the digital profile database based on the search; and   displaying, via the user interface, the one or more digital profiles.   
     
     
         2 . A computer-implemented method for machine learning-informed pairings of user input-to-online digital profile data, the computer-implemented method comprising:
 receiving, via a user interface, user input data associated with a user input;   computing one or more classification inferences, by one or more machine learning-based classification models, based on one or more features extracted from the user input data, wherein the one or more classification inferences comprise one or more machine learning-based classification labels identified from a plurality of distinct digital profile subdomain classification labels;   automatically constructing, by one or more computers, a digital profile search query, wherein constructing the digital profile search query includes:
 (i) deriving one or more digital profile search parameters based on the one or more machine learning-based classification labels, and 
 (ii) defining the digital profile search query using, at least, the one or more digital profile search parameters; 
   automatically executing, by the one or more computers, the digital profile search query, wherein the executing of the digital profile search query includes:
 (a) automatically searching, by the one or more computers, a digital profile database based on the digital profile search parameters; and 
 (b) selectively pairing the digital profile search query to one or more digital profiles of the digital profile database based on the search; and 
   displaying, via the user interface, the one or more digital profiles based on the selective pairing.