US 12,380,280 B2
Topic identification based on virtual space machine learning models
Mitchell McNeill, Dallas, TX (US); Neil Brady, Indianapolis, IN (US); and Nathan Smith, Denver, CO (US)
Assigned to Salesforce, Inc., San Francisco, CA (US)
Filed by Salesforce, Inc., San Francisco, CA (US)
Filed on Sep. 16, 2022, as Appl. No. 17/946,952.
Prior Publication US 2024/0095459 A1, Mar. 21, 2024
Int. Cl. G06F 40/35 (2020.01); G10L 25/30 (2013.01); H04L 51/02 (2022.01)
CPC G06F 40/35 (2020.01) [G10L 25/30 (2013.01); H04L 51/02 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method, implemented at least in part by one or more computing devices of a communication platform, the method comprising:
receiving, via a virtual space and from a user associated with a user profile of the communication platform, a request to obtain information;
inputting the request into a trained machine learning model trained to determine a plurality of topics associated with the request and respective confidence levels associated with the plurality of topics, wherein the trained machine learning model is trained on content stored within the virtual space;
receiving, from the trained machine learning model, the plurality of topics and the respective confidence levels;
determining that an individual confidence level associated with an individual topic is a highest confidence level of the respective confidence levels;
determining, based at least in part on the individual confidence level being the highest confidence level, that the individual confidence level meets or exceeds a threshold confidence level;
based least in part on the individual confidence level meeting or exceeding the threshold confidence level, associating the individual topic with the request;
determining that the individual topic of the request corresponds to a graphical identifier;
causing to display, in response to determining that the individual topic corresponds to the graphical identifier and based at least in part on the request being associated with the individual topic, the graphical identifier on the virtual space; and
causing to display, based at least in part on the graphical identifier to be displayed, a workflow response on the virtual space.