US 11,727,287 B2
Multi-client service system platform
George Banis, Cambridge, MA (US); Adam Starikiewicz, Dublin (IE); Kevin M. Walsh, Somerville, MA (US); Stephen Purcell, Somerville, MA (US); Hector Urdiales, Dublin (IE); and Andrea Bergonzo, Dublin (IE)
Assigned to HubSpot, Inc.
Filed by HubSpot, Inc., Cambridge, MA (US)
Filed on Aug. 8, 2022, as Appl. No. 17/882,950.
Application 17/882,950 is a continuation of application No. 16/716,688, filed on Dec. 17, 2019, granted, now 11,449,775.
Claims priority of provisional application 62/785,544, filed on Dec. 27, 2018.
Prior Publication US 2022/0383199 A1, Dec. 1, 2022
This patent is subject to a terminal disclaimer.
Int. Cl. G06N 5/04 (2023.01); G06N 20/00 (2019.01)
CPC G06N 5/04 (2013.01) [G06N 20/00 (2019.01)] 20 Claims
OG exemplary drawing
 
1. A method, comprising:
receiving an inference request including a model identifier and a target defining a set of features for use in processing the inference request, wherein the set of features correspond to a task for evaluation using a machine learning model associated with the model identifier;
determining based on the model identifier an additional feature, related to the set of features, for processing the inference request;
generating an inference outcome corresponding to the inference request being processed using the target and the additional feature as input to the machine learning model; and
training the machine learning model based on feedback resulting from the inference outcome, the feedback indicating an accuracy of the inference outcome with respect to the task.