Cognitive personas

• US 10,268,954 B2
• Filed: 06/05/2015
• Issued: 04/23/2019
• Est. Priority Date: 06/09/2014
• Status: Active Grant

• Current Assignee: Tecnotree Technologies Incorporated
• Original Assignee: Cognitive Scale Inc (Tecnotree Oyj)
• Inventors: Faith, John N., Kothe, Kyle W., Sanchez, Matthew, Chawla, Neeraj
• Primary Examiner(s): Nilsson, Eric
• Application Number:
  US14/731,881
• Publication Number:
  US 20150356408A1
• Time in Patent Office: 1,418 Days
• CPC Class Codes: G06F 13/4208 being a system bus, e.g. VME bus, Futurebus, Multibus
• CPC Class Codes: G06F 16/24568 Data stream processing; Continuous queries
• CPC Class Codes: G06F 16/2465 Query processing support for facilitating data mining operations in structured databases
• CPC Class Codes: G06F 16/287 Visualization; Browsing
• CPC Class Codes: G06F 16/9024 Graphs; Linked lists G06F16/9027 takes precedence
• CPC Class Codes: G06F 16/955 using information identifiers, e.g. uniform resource locators [URL]
• CPC Class Codes: G06F 16/972 Access to data in other repository systems, e.g. legacy data or dynamic Web page generation
• CPC Class Codes: G06N 20/00 Machine learning
• CPC Class Codes: G06N 5/022 Knowledge engineering; Knowledge acquisition
• CPC Class Codes: G06N 5/04 Inference or reasoning models
• CPC Class Codes: G06Q 30/0241 Advertisements
• CPC Class Codes: G06Q 30/0269 based on user profile or attribute
• CPC Class Codes: G06Q 30/0277 Online advertisement
• CPC Class Codes: H04W 4/025 using location based information parameters

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

1. A computer-implementable method for performing cognitive computing operations comprising:

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 method of claim 1, wherein:

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

3. The method 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 method of claim 1, further comprising:

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 method of claim 1, further comprising:

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 method of claim 5, further comprising:

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.