US2017200086A1PendingUtilityA1

Systems and methods of processing personality information

Individually held — no corporate assignee on recordPriority: Aug 4, 2011Filed: Mar 24, 2017Published: Jul 13, 2017
Est. expiryAug 4, 2031(~5 yrs left)· nominal 20-yr term from priority
G06Q 10/40G06N 7/00G06F 16/245G06F 16/24578G06F 2111/10G06F 16/951G06F 30/20G06N 5/04G06F 16/9535G06Q 30/0276G06F 17/30424G06F 17/5009G06F 17/3053G06F 2217/16A61B 5/167G06Q 10/42G06F 16/9538
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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;   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; and   transmitting an indication of the recommended action.

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