Weighted cognitive personas and profiles

• US 9,940,580 B2
• Filed: 06/05/2015
• Issued: 04/10/2018
• 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.
• Primary Examiner(s): Hill, Stanley K.
• Application Number:
  US14/731,890
• Publication Number:
  US 20150356410A1
• Time in Patent Office: 1,040 Days
• Field of Search: None
• 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, links among the set of nodes being weighted to provide a weighted 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;

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 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;

incorporating enriched data resulting from the performed data enriching into the cognitive graph as nodes within the cognitive graph;

defining a cognitive persona within the cognitive graph, the cognitive persona corresponding to an archetype user model, the defining comprising associating attributes with respective nodes of a set of nodes in the cognitive graph, links among the set of nodes being weighted to provide a weighted cognitive graph, weighting of the links representing a relevance between attributes associated with respective nodes;

associating a user with the cognitive persona; and

,

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

2. The method of claim 1, wherein:

the cognitive persona represents a set of attributes, each of the set of attributes corresponding to a node of the set of nodes; and

,

an amount of weighting between nodes of the set of nodes corresponds to a degree of relevance between the persona and the attributes.

3. The method of claim 2, wherein:

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

4. The method of claim 1, wherein:

a link between a first node of the set of nodes and a second node of the set of nodes is represented by an attribute weight, the attribute weight indicating a degree of relevance between the attributes corresponding to the first node and the second node.

5. The method of claim 1, further comprising:

providing a cognitive insight relating to the cognitive persona associated with the user;

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

,

revising weighting of the links among the set of nodes of the weighted cognitive graph based upon the feedback.

6. The method of claim 5, further comprising:

defining a second cognitive persona within the cognitive graph, the defining the second cognitive persona comprising associating attributes with respective nodes of a second set of nodes in the cognitive graph, links among the second set of nodes being weighted using a revised weighting resulting from the revising weighting of the links.