| CPC G06N 5/043 (2013.01) [G06F 16/00 (2019.01); G06F 16/337 (2019.01)] | 6 Claims |
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1. A cognitive learning method comprising:
monitoring a user interaction of an anonymous 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 executing on an information processing 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, the cognitive learning operation implementing a cognitive learning technique according to a cognitive learning framework, 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 learning operation applying the cognitive learning technique via a machine learning algorithm to generate the cognitive learning result, the cognitive inference and learning system comprising a cognitive platform, the cognitive platform and the information processing system performing a cognitive computing function, the cognitive platform comprising:
a cognitive graph, the cognitive graph being derived from the plurality of data sources, the cognitive graph comprising an application cognitive graph, the application cognitive graph comprising a cognitive graph associated with a cognitive application, interactions between the cognitive application and the application cognitive graph being represented as a set of nodes in the cognitive graph, and,
a cognitive engine, the cognitive engine comprising a dataset engine, a graph query engine and an insight/learning engine, the dataset engine being implemented to establish and maintain a dynamic data ingestion and enrichment pipeline, the graph query engine being implemented to receive and process queries such that the queries are bridged into a cognitive graph, the insight/learning engine being implemented to generate a cognitive insight from the cognitive graph, the dataset engine, the graph query engine and the insight/learning engine operating collaboratively to generate the cognitive insight,
associating an anonymous cognitive profile with the anonymous user based on the cognitive learning result, the anonymous cognitive profile comprising a cognitive profile associated with a particular anonymous user; and,
generating the cognitive insight based upon specific attributes of the cognitive profile associated with the particular anonymous user; and wherein
the plurality of cognitive learning techniques comprising a direct correlations cognitive learning technique, an explicit likes/dislikes cognitive learning technique, a patterns and concepts cognitive learning technique, a behavior cognitive learning technique, a concept entailment cognitive learning technique, and a contextual recommendation cognitive learning technique, the direct correlations cognitive learning technique being associated with a declared learning style and bounded by a data-based cognitive learning category, the explicit likes/dislikes cognitive technique being associated with the declared learning style and bounded by an interaction-based cognitive learning category, the patterns and concepts cognitive learning technique being associated with an observed learning style and bounded by the data-based cognitive learning category, the behavior cognitive learning technique being associated with the observed learning style and bounded by the interaction-based cognitive learning category, the concept entailment cognitive learning technique being associated with an inferred learning style and bounded by the data-based cognitive learning category, and the contextual recommendation cognitive technique being associated with the inferred learning style and bounded by the interaction-based cognitive learning category.
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