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 |
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.
|