Invention Grant
- Patent Title: System for determining quantitative measure of dyadic ties
-
Application No.: US17581247Application Date: 2022-01-21
-
Publication No.: US11694131B2Publication Date: 2023-07-04
- Inventor: Ethan Francis
- Applicant: 6DOS, LLC
- Applicant Address: US TX Addison
- Assignee: 6DOS, LLC
- Current Assignee: 6DOS, LLC
- Current Assignee Address: US TX Addison
- Agency: Michael Best & Friedrich LLP
- Main IPC: G06F15/16
- IPC: G06F15/16 ; G06Q10/0631 ; G06N20/20 ; G06F16/957 ; H04L67/306 ; H04L67/561 ; H04L67/565

Abstract:
Described are platforms, systems, and methods for determining quantifiable measures of dyadic ties. In one aspect, a method comprises receiving contextual data for a user from at least one data source; processing the contextual data through a first machine-learning model to determine quantifiable measures of dyadic ties between the user and each of a plurality of individuals, the first machine-learning model trained with previously received contextual data of a plurality of other users; determining a grouping for the user based on the determined quantifiable measures, the grouping comprising at least one of the individuals; and providing, through a user-interface, access to the determined quantifiable measures to members of the grouping.
Public/Granted literature
- US20220147904A1 SYSTEM FOR DETERMINING QUANTITATIVE MEASURE OF DYADIC TIES Public/Granted day:2022-05-12
Information query