Weighted Cognitive Personas and Profiles

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 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,
• providing a cognitive insight via the cognitive engine, the cognitive insight relating to the cognitive persona associated with the user.

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;
• 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 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,
• providing a cognitive insight via the cognitive engine, the cognitive insight relating to the cognitive persona associated with the user.

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;
• 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 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,
• providing a cognitive insight via the cognitive engine, the cognitive insight relating to the cognitive persona associated with the user.