IP Library Granted Patent US 10,713,575
Granted Patent B2
US 10,713,575 · App. 14/983,003 · Granted Jul 14, 2020

Cognitive insight interaction monitor

Inventors: Neeraj Chawla (Austin, TX); Joshua L. Segars (Cedar Park, TX)
Assignee: Cognitive Scale, Inc.
G06N5/04G06F16/9024G06Q30/02G06Q30/0631
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Quick Facts
Patent No.
US 10,713,575
App. No.
14/983,003
Granted
Jul 14, 2020
Kind
B2
Abstract

A system and computer-readable medium for performing a cognitive learning operation comprising monitoring a user interaction of a user; generating user interaction data based upon the user interaction; receiving data from a plurality of data sources; processing the user interaction data and the data from the plurality of data sources to perform a cognitive learning operation, the processing being performed via a cognitive inference and learning system, the cognitive learning operation comprising analyzing the user interaction data, the cognitive learning operation generating a cognitive learning result based upon the user interaction data; and, associating a cognitive profile with the user based the cognitive learning result.

Claims (51)

1. A cognitive information processing 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:

monitoring a user interaction of a user;

generating user interaction data based upon the user interaction;

receiving data from a plurality of data sources;

processing the data from the plurality of data sources, the processing the data from the plurality of data sources performing data enriching for incorporation into a cognitive graph;

processing the user interaction data and the data from the plurality of data sources to perform a cognitive learning operation, the cognitive learning operation implementing a cognitive learning technique according to a cognitive learning framework to generate a cognitive learning result, the processing being performed via 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 learning framework comprising a plurality of cognitive learning styles and a plurality of cognitive learning categories, each of the plurality of cognitive learning styles comprising a generalized learning approach implemented by the cognitive inference and learning system to perform the cognitive learning operation, each of the plurality of cognitive learning categories referring to a source of information used by the cognitive inference and learning system when performing the cognitive learning operation, an individual cognitive learning technique being associated with a primary cognitive learning style and bounded by an associated primary cognitive learning category, the cognitive inference and learning system comprising a cognitive platform, the cognitive platform comprising

a cognitive engine, the cognitive engine processing the data from the plurality of data sources,

a plurality of sourcing agents, the plurality of sourcing agents sourcing the data from the plurality of data sources, and,

a plurality of destination agents, the plurality of destination agents publishing the cognitive learning result to a consumer of cognitive insight data;

the cognitive learning operation comprising analyzing the user interaction data, the cognitive learning operation generating the cognitive learning result based upon the user interaction data;

associating a cognitive profile with the user based the cognitive learning result; and,

updating a destination based upon the cognitive profile and the learning result, the destination comprising a cognitive application, the cognitive application enabling interaction with the cognitive learning result.

2. The cognitive information processing system of claim 1 , wherein:

the user interaction interacts with a plurality of cognitive suggestions; and,

the interaction data comprises at least one of an order of an interaction, an amount of time of an interaction, and a particular area within the plurality of cognitive insights the user interacted with for at least one of the plurality of cognitive insights.

3. The cognitive information processing system of claim 1 , wherein:

receipt of the data from the plurality of sources is monitored to provide data related user interaction data; and,

the data related user interaction data is used to generate a cognitive insight.

4. The cognitive information processing system of claim 3 , wherein the instructions are further configured for:

receiving feedback from a user regarding the cognitive insight;

and, updating the cognitive learning result based upon the

feedback.

5. The cognitive information processing system of claim 4 , wherein:

the feedback comprises at least one of selecting the cognitive insight for receipt of additional information, not selecting the cognitive insight, and submitting a new query in response to receipt of the cognitive insight.

6. The cognitive information processing system of claim 4 , wherein:

the interaction data and the feedback is used to refine the cognitive profile of the user.

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

monitoring a user interaction of a user;

generating user interaction data based upon the user interaction; receiving data from a plurality of data sources;

processing the data from the plurality of data sources, the processing the data from the plurality of data sources performing data enriching for incorporation into a cognitive graph;

processing the user interaction data and the data from the plurality of data sources to perform a cognitive learning operation, the cognitive learning operation implementing a cognitive learning technique according to a cognitive learning framework to generate a cognitive learning result, the processing being performed via 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 learning framework comprising a plurality of cognitive learning styles and a plurality of cognitive learning categories, each of the plurality of cognitive learning styles comprising a generalized learning approach implemented by the cognitive inference and learning system to perform the cognitive learning operation, each of the plurality of cognitive learning categories referring to a source of information used by the cognitive inference and learning system when performing the cognitive learning operation, an individual cognitive learning technique being associated with a primary cognitive learning style and bounded by an associated primary cognitive learning category, the cognitive inference and learning system comprising a cognitive platform, the cognitive platform comprising

a cognitive engine, the cognitive engine processing the data from the plurality of data sources,

a plurality of sourcing agents, the plurality of sourcing agents sourcing the data from the plurality of data sources, and,

a plurality of destination agents, the plurality of destination agents publishing the cognitive learning result to a consumer of cognitive insight data;

the cognitive learning operation comprising analyzing the user interaction data, the cognitive learning operation generating the cognitive learning result based upon the user interaction data;

associating a cognitive profile with the user based on the cognitive learning result; and,

updating a destination based upon the cognitive profile and the learning result, the destination comprising a cognitive application, the cognitive application enabling interaction with the cognitive learning result.

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

the user interaction interacts with a plurality of cognitive suggestions; and,

the interaction data comprises at least one of an order of an interaction, an amount of time of an interaction, and a particular area within the plurality of cognitive insights the user interacted with at least one of the plurality of cognitive suggestions.

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

receipt of the data from the plurality of sources is monitored to provide data related user interaction data; and,

the data related user interaction data is used to generate a cognitive insight.

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

receiving feedback from a user regarding the cognitive insight; and, updating the cognitive learning result based upon the feedback.

11. The non-transitory, computer-readable storage medium of claim 10 , wherein:

the feedback comprises at least one of selecting the cognitive insight for receipt of additional information, not selecting the cognitive insight, and submitting a new query in response to receipt of the cognitive insight.

12. The non-transitory, computer-readable storage medium of claim 10 , wherein:

the interaction data and the feedback is used to refine the cognitive profile of the user.

Assignments (4)
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 Mar 8, 2017
From: CHAWLA, NEERAJ; SEGARS, JOSHUA L.
To: COGNITIVE SCALE, INC.
Reel/Frame 041500/0981 →
Continuity (1)
Related Publication 20170185914A1 · Jun 29, 2017