Feature-specific adaptive models for support tools

Number of patents in Portfolio can not be more than 2000

United States of America

PATENT NO 11216744
APP PUB NO 20180314958A1
SERIAL NO

15582559

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Abstract

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In one embodiment, a machine learning server in a computer network determines a plurality of computing features shared across a given set of computing products, and collects, from each computing product of the given set, problem-solution data for each computing feature of the plurality of computing features. Problem-solution data is indicative of problems related to a respective computing feature, attempted solution actions for the problems, and outcomes of the attempted solutions on the problem. The machine learning server updates a machine learning model of suggested solutions for computing-feature-specific problems based on the collected problem-solution data, and provides, based on the machine learning model, a particular suggested solution for a particular computing-feature-specific problem to a particular computing product. An outcome of the particular suggested solution for the particular computing-feature-specific problem on the particular computing product may then be fed back to the machine learning server as collected problem-solution data.

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Patent Owner(s)

  • CISCO TECHNOLOGY INC.

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Chandran, Ajith San Jose, US 3 44
Sethi, Kabiraj Fremont, US 13 64
Shukla, Amitesh Milpitas, US 11 53

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