US 11,943,263 B2
Recommendation engine for improved user experience in online meetings
Rohit Pradeep Shetty, Bangalore (IN); Ravish Chawla, Atlanta, GA (US); and Adam Chow, Atlanta, GA (US)
Assigned to VMware, Inc., Palo Alto, CA (US)
Filed by VMware LLC, Palo Alto, CA (US)
Filed on Jun. 2, 2022, as Appl. No. 17/830,733.
Prior Publication US 2023/0396660 A1, Dec. 7, 2023
Int. Cl. G06F 15/16 (2006.01); G06Q 10/1093 (2023.01); H04L 41/12 (2022.01); H04L 43/0811 (2022.01); H04L 65/1083 (2022.01); H04L 65/403 (2022.01)
CPC H04L 65/403 (2013.01) [G06Q 10/1095 (2013.01); H04L 41/12 (2013.01); H04L 43/0811 (2013.01); H04L 65/1083 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method for providing recommendations for an improved user experience in an online meeting, comprising:
receiving connectivity data and location data from a plurality of user devices associated with a user, the connectivity data including data relating to a current network connection of each of the plurality of user devices and including environmental data comprising a background noise level;
scoring the connectivity data from each of the plurality of user devices associated with the user;
determining, using the scored connectivity data and the location data for each of the plurality of user devices, a recommended user device for the user to use in an upcoming online meeting, wherein determining the recommended user device includes:
extracting data points from the scored connectivity data and the location data based, at least in part, on an anticipated amount of background noise during the upcoming online meeting,
inputting the extracted data points into a machine learning algorithm, and
receiving the recommended user device as an output from the machine learning algorithm; and
sending, to at least one of the plurality of user devices, a recommendation for using the recommended user device during the online meeting.