Cognitive search operation

US11216736B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-11216736-B2
Application numberUS-201715714328-A
CountryUS
Kind codeB2
Filing dateSep 25, 2017
Priority dateApr 20, 2017
Publication dateJan 4, 2022
Grant dateJan 4, 2022

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  1. Title

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  2. Abstract

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  3. Assignees and inventors

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  4. Key dates

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  5. First independent claim

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Abstract

Official abstract text for this publication.

A method, system and computer readable medium 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; generating a cognitive profile based upon the information 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.

First claim

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What is claimed is: 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, 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 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 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. 2. The method of claim 1 , wherein: the results specific to the user are further refined based upon terms used when performing the cognitive search operation. 3. The method of claim 2 , wherein: a second user having a second cognitive profile and performing a search using the terms used when performing the cognitive search operation would return cognitive results specific to the second cognitive profile. 4. The method of claim 1 , wherein: the machine learning operation comprises a ranked insight model operation, the ranked insight operation comprising a factor-needs operation. 5. The method of claim 1 , wherein: the machine learning operation comprises a hierarchical topic model operation, the hierarchical topic model operation comprises a domain topic abstraction operation and a hierarchical topic operation. 6. The method of claim 1 , wherein: the cognitive profile is continuously updated based upon at least one of a plurality of feedback information sources, the feedback information sources comprising information based upon feedback from interactions between the user and the cognitive insight and learning system, information from a query submitted by the user to the cognitive insight and learning system, information from external input data, information from a user navigating a hierarchical topic model and information received from a training system. 7. 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 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, 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 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 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

Assignees

Inventors

Classifications

  • G06N20/00Primary

    Machine learning · CPC title

  • G06N5/04Primary

    Inference or reasoning models · CPC title

  • Creation of semantic tools, e.g. ontology or thesauri · CPC title

  • Distributed expert systems; Blackboards · CPC title

  • Browsing optimisation, e.g. caching or content distillation · CPC title

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What does patent US11216736B2 cover?
A method, system and computer readable medium 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; generating a cognitive profile based upon the information generated by performing the machine learning operation…
Who is the assignee on this patent?
Cognitive Scale Inc
What technology area does this patent fall under?
Primary CPC classification G06N20/00. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Jan 04 2022 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 12 related publications on this page (citations in our corpus or others sharing the same primary CPC).