US 11,748,641 B2
Temporal topic machine learning operation
Ayan Acharya, Austin, TX (US); Matthew Sanchez, Austin, TX (US); and Omar Eid, Austin, TX (US)
Assigned to Tecnotree Technologies, Inc., Lewes, DE (US)
Filed by Cognitive Scale, Inc., Austin, TX (US)
Filed on May 25, 2021, as Appl. No. 17/330,160.
Application 17/330,160 is a continuation of application No. 15/432,533, filed on Feb. 14, 2017, granted, now 11,023,815, issued on Jun. 1, 2021.
Prior Publication US 2021/0279616 A1, Sep. 9, 2021
This patent is subject to a terminal disclaimer.
Int. Cl. G06N 5/043 (2023.01); G06N 20/00 (2019.01); G06N 7/01 (2023.01)
CPC G06N 5/043 (2013.01) [G06N 7/01 (2023.01); G06N 20/00 (2019.01)] 20 Claims
OG exemplary drawing
 
1. A computer-implementable method for generating a cognitive insight comprising:
receiving data from a plurality of data sources, at least one of the plurality of data sources providing information regarding a temporal sequence of events;
performing a cognitive learning operation via a cognitive inference and learning system, the cognitive learning operation processing data from at least some of the plurality of data sources, the cognitive learning operation applying a plurality of cognitive learning techniques to generate a cognitive learning result;
performing a temporal topic machine learning operation on the temporal sequence of events;
generating a cognitive profile based upon the cognitive learning result and information generated by performing the temporal topic machine learning operation, the cognitive profile referencing personal data associated with a user; and,
generating a cognitive insight based upon the cognitive profile generated based upon the cognitive learning result and the information generated by performing the temporal topic machine learning operation; 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 learning 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 a contextual recommendation cognitive learning technique being associated with the inferred learning style and bounded by the interaction-based cognitive learning category.