The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Feb. 28, 2023

Filed:

May. 03, 2019
Applicant:

Servicenow, Inc., Santa Clara, CA (US);

Inventors:

Baskar Jayaraman, Fremont, CA (US);

Aniruddha Madhusudhan Thakur, Saratoga, CA (US);

Kannan Govindarajan, Sunnyvale, CA (US);

Andrew Kai Chiu Wong, Sunnyvale, CA (US);

Sriram Palapudi, Santa Clara, CA (US);

Assignee:

ServiceNow, Inc., Santa Clara, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04L 67/00 (2022.01); G06K 9/62 (2022.01); G06N 3/02 (2006.01); G06F 16/33 (2019.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
H04L 67/34 (2013.01); G06F 16/3347 (2019.01); G06K 9/6215 (2013.01); G06K 9/6218 (2013.01); G06K 9/6256 (2013.01); G06N 3/02 (2013.01); G06N 20/00 (2019.01);
Abstract

A remote network management platform is provided that includes an end-user computational instance dedicated to a managed network, a training computational instance, and a prediction computational instance. The training instance is configured to receive a corpus of textual records from the end-user instance and to determine therefrom a machine learning (ML) model to determine the numerical similarity between input textual records and textual records in the corpus of textual records. The prediction instance is configured to receive the ML model and an additional textual record from the end-user instance, to use the ML model to determine respective numerical similarities between the additional textual record and the textual records in the corpus of textual records, and to transmit, based on the respective numerical similarities, representations of one or more of the textual records in the corpus of textual records to the end-user computational instance.


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