US 11,914,588 B1
Determining a user-specific approach for disambiguation based on an interaction recommendation machine learning model
Dipock Das, San Carlos, CA (US); Dayanand Pochugari, Santa Clara, CA (US); Neeraj Verma, Fremont, CA (US); Nikesh Padakanti, Fremont, CA (US); Aungon Nag Radon, Vancouver (CA); Anand Srinivasabagavathar, Fremont, CA (US); and Adam Oliner, San Francisco, CA (US)
Assigned to SPLUNK INC., San Francisco, CA (US)
Filed by Splunk Inc., San Francisco, CA (US)
Filed on Sep. 12, 2022, as Appl. No. 17/943,037.
Application 17/943,037 is a continuation of application No. 16/790,554, filed on Feb. 13, 2020, granted, now 11,461,320.
Application 16/790,554 is a continuation of application No. 15/663,726, filed on Jul. 29, 2017, granted, now 10,565,196, issued on Feb. 18, 2020.
Int. Cl. G06F 16/2453 (2019.01); G06N 20/00 (2019.01); G06F 16/248 (2019.01); G06F 16/2452 (2019.01); G06N 5/046 (2023.01); G06N 3/08 (2023.01); G06N 5/022 (2023.01); G06N 20/10 (2019.01)
CPC G06F 16/24534 (2019.01) [G06F 16/248 (2019.01); G06F 16/24522 (2019.01); G06N 3/08 (2013.01); G06N 5/022 (2013.01); G06N 5/046 (2013.01); G06N 20/00 (2019.01); G06N 20/10 (2019.01)] 20 Claims
OG exemplary drawing
 
1. A computer-implemented method, comprising:
mapping a first natural language (NL) request to a first template of a plurality of templates stored in a database, wherein the first template is written in a first domain-specific language (DSL) associated with a first data storage system;
identifying a property field included in the first template for which a value is unknown;
generating an inquiry requesting the value for the property field included in the first template;
generating a first DSL request that is written in the first DSL based on the first template and the value for the property field produced in conjunction with one or more user inputs received in response to the inquiry; and
causing the first DSL request to be applied to the first data storage system.