IP Library Granted Patent US 10,325,207
Granted Patent B2
US 10,325,207 · App. 14/731,873 · Granted Jun 18, 2019

Cognitive personas

Inventors: John N. Faith (Austin, TX); Kyle W. Kothe (Austin, TX); Matthew Sanchez (Austin, TX); Neeraj Chawla (Austin, TX)
Assignee: COGNITIVE SCALE, INC.
G06N5/022G06F13/4208G06F16/2465G06F16/24568G06F16/287G06F16/9024G06F16/955G06F16/972G06N5/02G06N5/04G06N20/00G06Q30/0241G06Q30/0269G06Q30/0277H04W4/025
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Quick Facts
Patent No.
US 10,325,207
App. No.
14/731,873
Granted
Jun 18, 2019
Kind
B2
Abstract

A method, system and computer-usable medium for performing cognitive computing operations comprising receiving streams of data from a plurality of data sources; processing the streams of data from the plurality of data sources, the processing the streams of data from the plurality of data sources performing data enriching for incorporation into a cognitive graph; defining a cognitive persona within the cognitive graph, the cognitive persona corresponding to an archetype user model, the cognitive persona comprising a set of nodes in the cognitive graph; associating a user with the cognitive persona; and, performing a cognitive computing operation based upon the cognitive persona associated with the user.

Claims (43)

1. A system comprising:

a processor;

a data bus coupled to the processor; and

a non-transitory, computer-readable storage medium embodying computer program code, the non-transitory, computer-readable storage medium being coupled to the data bus, the computer program code interacting with a plurality of computer operations and comprising instructions executable by the processor and configured for:

receiving streams of data from a plurality of data sources, the plurality of data sources comprising at least one of a social data source stored in a social data repository, public data source stored in a public data repository, licensed data source stored in a licensed data repository and proprietary data source stored in a proprietary data repository;

processing the streams of data from the plurality of data sources, the processing the streams of data from the plurality of data sources performing data enriching for incorporation into a cognitive graph, the data enriching performing sentiment analysis, geotagging and entity detection operations on the streams of data from the plurality of data sources, the processing being performed by a cognitive inference and learning system, the cognitive inference and learning system executing on a hardware processor of an information processing system and interacting with the plurality of data sources, the cognitive inference and learning system and the information processing system providing a cognitive computing function, the cognitive computing function comprising at least one of performing a spatial navigation operation, a machine vision operation and a pattern recognition operation on at least some of the streams of data from the plurality of data sources, the cognitive inference and learning system comprising a cognitive platform, the cognitive platform comprising a cognitive engine, the cognitive engine processing the streams of data from the plurality of data sources;

defining a cognitive persona within the cognitive graph, the cognitive persona corresponding to an archetype user model, the cognitive persona comprising a set of nodes in the cognitive graph;

associating a user with the cognitive persona; and,

performing a cognitive computing operation based upon the cognitive persona associated with the user.

2. The system of claim 1 , wherein:

the cognitive persona represents a common set of attributes associated with a hypothesized group of users.

3. The system of claim 2 , wherein:

the common set of attributes comprise at least one of demographic attributes, geographic attributes, psychographic attributes, and behavioristic attributes.

4. The system of claim 1 , wherein the instructions executable by the processor further comprise instructions for:

associating a plurality of cognitive personas with the user;

generating a plurality of cognitive insights based upon the plurality of cognitive personas; and, wherein

a first cognitive insight based upon a first of the plurality of cognitive personas is different from the cognitive insight based upon another of the plurality of cognitive personas.

5. The system of claim 1 , wherein the instructions executable by the processor further comprise instructions for:

receiving feedback from the user relating to the cognitive persona associated with the user; and,

revising the cognitive persona based upon the feedback.

6. The system of claim 5 , wherein the instructions executable by the processor further comprise instructions for:

using the feedback from the user to create a new cognitive persona, the new persona inheriting a common set of attributes from the cognitive persona.

7. A non-transitory, computer-readable storage medium embodying computer program code, the computer program code comprising computer executable instructions configured for:

receiving streams of data from a plurality of data sources, the plurality of data sources comprising at least one of a social data source stored in a social data repository, public data source stored in a public data repository, licensed data source stored in a licensed data repository and proprietary data source stored in a proprietary data repository;

processing the streams of data from the plurality of data sources, the processing the streams of data from the plurality of data sources performing data enriching for incorporation into a cognitive graph, the data enriching performing sentiment analysis, geotagging and entity detection operations on the streams of data from the plurality of data sources, the processing being performed by a cognitive inference and learning system, the cognitive inference and learning system executing on a hardware processor of an information processing system and interacting with the plurality of data sources, the cognitive inference and learning system and the information processing system providing a cognitive computing function, the cognitive computing function comprising at least one of performing a spatial navigation operation, a machine vision operation and a pattern recognition operation on at least some of the streams of data from the plurality of data sources, the cognitive inference and learning system comprising a cognitive platform, the cognitive platform comprising a cognitive engine, the cognitive engine processing the streams of data from the plurality of data sources;

defining a cognitive persona within the cognitive graph, the cognitive persona corresponding to an archetype user model, the cognitive persona comprising a set of nodes in the cognitive graph;

associating a user with the cognitive persona; and,

performing a cognitive computing operation based upon the cognitive persona associated with the user.

8. The non-transitory, computer-readable storage medium of claim 7 , wherein:

the cognitive persona represents a common set of attributes associated with a hypothesized group of users.

9. The non-transitory, computer-readable storage medium of claim 8 , wherein:

the common set of attributes comprise at least one of demographic attributes, geographic attributes, psychographic attributes, and behavioristic attributes.

10. The non-transitory, computer-readable storage medium of claim 7 , wherein the instructions executable by the processor further comprise instructions for:

associating a plurality of cognitive personas with the user;

generating a plurality of cognitive insights based upon the plurality of cognitive personas; and, wherein

a first cognitive insight based upon a first of the plurality of cognitive personas is different from the cognitive insight based upon another of the plurality of cognitive personas.

11. The non-transitory, computer-readable storage medium of claim 7 , wherein the instructions executable by the processor further comprise instructions for:

receiving feedback from the user relating to the cognitive persona associated with the user; and,

revising the cognitive persona based upon the feedback.

12. The non-transitory, computer-readable storage medium of claim 11 , wherein the instructions executable by the processor further comprise instructions for:

using the feedback from the user to create a new cognitive persona, the new persona inheriting a common set of attributes from the cognitive persona.

13. The non-transitory, computer-readable storage medium of claim 7 , wherein the computer executable instructions are deployable to a client system from a server system at a remote location.

14. The non-transitory, computer-readable storage medium of claim 7 , wherein the computer executable instructions are provided by a service provider to a user on an on-demand basis.

Assignments (5)
SECURITY INTEREST Recorded Dec 22, 2022
From: TECNOTREE TECHNOLOGIES INC.
To: TRIPLEPOINT CAPITAL LLC
Reel/Frame 062213/0388 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Dec 14, 2022
From: COGNITIVE SCALE, INC.; COGNITIVESCALE SOFTWARE INDIA PVT. LTD.; COGNITIVE SCALE UK LTD.; COGNITIVE SCALE (CANADA) INC.
To: TECNOTREE TECHNOLOGIES, INC.
Reel/Frame 062125/0051 →
SECURITY INTEREST Recorded Oct 25, 2022
From: COGNITIVE SCALE INC.
To: TRIPLEPOINT CAPITAL LLC
Reel/Frame 061771/0001 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded May 21, 2018
From: SANCHEZ, MATTHEW; CHAWLA, NEERAJ
To: COGNITIVE SCALE, INC.
Reel/Frame 045861/0162 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded May 18, 2016
From: FAITH, JOHN N.; KOTHE, KYLE W.
To: COGNITIVE SCALE, INC.
Reel/Frame 038637/0283 →
Continuity (2)
Provisional Application 62009626 · Jun 9, 2014
Related Publication 20150356407A1 · Dec 10, 2015