Machine learning-based recommendation system for root cause analysis of service issues
US11176464B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 25, 2017 |
| Grant date | Nov 16, 2021 |
| Priority date | — |
| Expiry date | Apr 13, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N5/022
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A machine learning-based recommendation system is provided for root cause analysis of service issues. An illustrative method of a machine learning system comprises extracting features from service issue investigation log sets corresponding to previously considered service issues; generating representations for the service issue investigation log sets based on the corresponding extracted features; and storing the representations in a knowledge base. In conjunction with obtaining an additional service issue investigation log set, the illustrative method generates a representation of the additional service issue investigation log set; identifies representations previously stored in the knowledge base as candidate service issues related to the additional service issue based on pairwise probabilities indicating whether the additional service issue is related to at least a subset of the previously considered service issues; and presents information characterizing the service issue investigation log sets corresponding to respective ones of the identified representations.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.