US2023325691A1PendingUtilityA1

Systems and methods of processing personality information

Individually held — no corporate assignee on recordPriority: Aug 4, 2011Filed: Feb 1, 2023Published: Oct 12, 2023
Est. expiryAug 4, 2031(~5 yrs left)· nominal 20-yr term from priority
G06Q 10/40G06Q 10/42G06N 5/04G06F 16/245G06F 16/951G06F 16/9535G06F 16/24578G06F 30/20G06Q 50/01G06Q 30/0276G06N 7/00G06F 2111/10A61B 5/167G06F 16/9538
58
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Claims

Abstract

A computer-based system and associated processes are disclosed for making personality-related recommendations to an entity. The system receives indications of one or more personality attributes of an entity. The system acquires indications of one or more personality attributes of a desired partner of the entity. The system applies a mathematical model to the one or more personality attributes of the entity and the one or more personality attributes of the desired partner of the entity. The mathematical model calculates one or more recommended changes to the personality attributes of the entity to increase a predicted relationship satisfaction score between the entity and the desired partner. The system selects a recommended action from a database of recommended actions, based at least in part on the recommended changes to the personality attributes of the entity. The system presents the recommended action.

Claims

exact text as granted — not AI-modified
What is claimed is: 
     
         1 . A method of making personality-related recommendations to an entity, the method being performed by a computer system comprising at least one computer processor, the method comprising:
 receiving indications of personality attributes of an entity;   acquiring indications of personality attributes of a desired partner of the entity;   applying a mathematical model to the personality attributes of the entity and the personality attributes of the desired partner of the entity, the mathematical model calculating one or more recommended changes to the personality attributes of the entity to increase a predicted relationship satisfaction score between the entity and the desired partner, the mathematical model configured to use a summation operation of a relationship function for each of a discrete number of specific attribute pairs for the entity and the desired partner of the entity, wherein the relationship function for at least one attribute pair reflects an antagonistic relationship such that the predicted relationship satisfaction score increases with greater dissimilarity in paired attribute scores;   selecting a recommended action from a database of recommended actions, based at least in part on the recommended changes to the personality attributes of the entity resulting from the antagonistic relationship for the at least one attribute pair; and   transmitting an indication of the recommended action.   
     
     
         2 . The method of  claim 1 , wherein the summation operation comprises a term in the form of equation (1): 
       
         
           
             
               
                 
                   
                     
                       ∑ 
                       
                         y 
                         = 
                         1 
                       
                       n 
                     
                     
                       
                         ∑ 
                         
                           z 
                           = 
                           1 
                         
                         n 
                       
                       
                         
                           e 
                           
                             y 
                             ⁢ 
                             z 
                           
                         
                         ⁢ 
                         
                           i 
                           y 
                         
                         ⁢ 
                         
                           p 
                           z 
                         
                       
                     
                   
                 
                 
                   
                     ( 
                     1 
                     ) 
                   
                 
               
             
           
         
         and wherein n represents a discrete number of personality attributes, i y  represents the personality attribute y of the entity, and p z  represents the personality attribute z for the desired partner, and e yz  represents the relationship function than can reflect the antagonistic relationship between i n  and p n . 
       
     
     
         3 . The method of  claim 1 , wherein the attribute pairs include two or more of the following:
 openness level for each of the entity and desired partner;   conscientiousness level for each of the entity and desired partner;   conscientiousness level of the entity and agreeableness of the desired partner;   neuroticism and extroversion of the entity;   neuroticism and agreeableness of the desired partner;   agreeableness and conscientiousness of the desired partner; and   openness and agreeableness of the desired partner;   
     
     
         4 . The method of  claim 3 , wherein the mathematical model identifies attributes for a partner and a resulting relationship satisfaction score such that the score exceeds a threshold. 
     
     
         5 . The method of  claim 3 , wherein the mathematical model applies a multidimensional optimization algorithm to achieve a relative local maximum or minimum. 
     
     
         6 . The method of  claim 1 , further comprising providing a user interface for viewing and adjusting values for the entity's personality attributes. 
     
     
         7 . The method of  claim 6 , wherein the user interface also displays the resulting values of the ideal partner profile and those displayed resulting values change, based on the underlying model, in response to adjustments by the entity of its attribute values through the user interface. 
     
     
         8 . The method of  claim 7 , wherein the user interface also includes a control that enables an entity to initiate a search for desired partners by finding candidates having the smallest difference between their attribute values and the ideal partner attribute values. 
     
     
         9 . An interface for interacting with a relationship modeling computer system, the interface comprising:
 an entity input module configured to allow a user entity to assess the entity's own attributes and comprising at least three interactive interface controls for selecting at least three levels, the controls corresponding to at least three specific entity attributes from the following:
 openness level of the entity; 
 conscientiousness level of the entity; 
 neuroticism level of the entity; 
 extroversion level of the entity; and 
 agreeableness level of the entity; 
   a calculation output module configured to display results resulting from a calculation module that uses input from entity input modules of others to determine a match using a maximization algorithm comprising a summation operation using an attribute pair relationship series; and   a match output module configured to display to the user entity at least one other entity as a match.   
     
     
         10 . The interface of  claim 4 , further comprising a recommendation display module configured to display results from a recommendation module, the results recommending actions by the user entity to improve an outcome with one or more matching entities. 
     
     
         11 . The interface of  claim 10 , wherein the recommendation module provides recommended dates with the at least one displayed match. 
     
     
         12 . The interface of  claim 10 , wherein the calculation module summation operation comprises a term in the form of equation (1): 
       
         
           
             
               
                 
                   
                     
                       ∑ 
                       
                         y 
                         = 
                         1 
                       
                       n 
                     
                     
                       
                         ∑ 
                         
                           z 
                           = 
                           1 
                         
                         n 
                       
                       
                         
                           e 
                           
                             y 
                             ⁢ 
                             z 
                           
                         
                         ⁢ 
                         
                           i 
                           y 
                         
                         ⁢ 
                         
                           p 
                           z 
                         
                       
                     
                   
                 
                 
                   
                     ( 
                     1 
                     ) 
                   
                 
               
             
           
         
         and wherein n represents a discrete number of personality attributes, i y  represents the personality attribute y of the entity, and p z  represents the personality attribute z for the desired partner, and e yz  represents the relationship function than can reflect the antagonistic relationship between i n  and p n . 
       
     
     
         13 . The interface of  claim 4 , wherein the maximization algorithm uses at least one antagonistic relationship between pairs of attributes for the user entity and potential matches. 
     
     
         14 . The interface of  claim 4 , further comprising a want module and a corresponding interface element configured to accept and allow a user entity to adjust wanted attribute levels of a potential match. 
     
     
         15 . The interface of  claim 14 , wherein the want module and corresponding interface element comprise at least three interface controls for two or more of the following attributes for the potential match:
 openness level;   conscientiousness level;   neuroticism level;   extroversion level; and   agreeableness level.   
     
     
         16 . The interface of  claim 10 , wherein the recommendation module is further configured to recommend adjustments in entity attributes to increase a number of potential matches. 
     
     
         17 . The interface of  claim 16 , wherein the recommendation module is further configured to use archetypal personalities in recommending adjustments in entity attributes.

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