US 11,704,595 B2
Cognitive search operation
Neeraj Chawla, Austin, TX (US); Matthew Sanchez, Austin, TX (US); Andrea M. Ricaurte, Austin, TX (US); Dilum Ranatunga, Austin, TX (US); Ayan Acharya, Austin, TX (US); and Hannah R. Lindsley, Austin, TX (US)
Assigned to Tecnotree Technologies, Inc., Lewes, DE (US)
Filed by Cognitive Scale, Inc., Austin, TX (US)
Filed on Jan. 3, 2022, as Appl. No. 17/567,404.
Application 17/567,404 is a continuation of application No. 15/714,328, filed on Sep. 25, 2017, granted, now 11,216,736, issued on Jan. 4, 2022.
Claims priority of provisional application 62/487,844, filed on Apr. 20, 2017.
Prior Publication US 2022/0121970 A1, Apr. 21, 2022
This patent is subject to a terminal disclaimer.
Int. Cl. G06N 5/04 (2023.01); G06N 5/02 (2023.01); G06T 7/11 (2017.01); G06F 16/954 (2019.01); G06F 16/36 (2019.01); G06N 20/00 (2019.01); G06F 16/242 (2019.01); G06F 16/957 (2019.01); G06F 16/9535 (2019.01); G06F 16/583 (2019.01); G06N 5/022 (2023.01); G06N 5/043 (2023.01)
CPC G06N 20/00 (2019.01) [G06F 16/36 (2019.01); G06F 16/5854 (2019.01); G06F 16/954 (2019.01); G06F 16/957 (2019.01); G06F 16/9535 (2019.01); G06N 5/022 (2013.01); G06N 5/04 (2013.01); G06N 5/043 (2013.01); G06T 7/11 (2017.01); G06F 16/243 (2019.01)] 20 Claims
OG exemplary drawing
 
1. A computer-implementable method for performing a cognitive search operation comprising:
receiving training data, the training data comprising information based upon user interaction with cognitive attributes;
performing a machine learning operation on the training data;
performing a cognitive learning operation via a cognitive inference and learning system using the training 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, an individual cognitive learning technique being associated with a primary cognitive learning style and bounded by an associated primary cognitive learning category, the cognitive learning operation applying the cognitive learning technique via the machine learning operation to generate a cognitive learning result;
generating a cognitive profile based upon the cognitive learning result generated by performing the machine learning operation; and,
performing a cognitive search operation on a corpus of content based upon the cognitive profile, the cognitive search operation returning cognitive results specific to the cognitive profile of the user; and wherein
the individual cognitive learning technique is one of a plurality of cognitive learning techniques, 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 the contextual recommendation cognitive learning technique being associated with the inferred learning style and bounded by the interaction-based cognitive learning category.