US2023153764A1PendingUtilityA1

Methods and systems for associating a team with a meeting

Assignee: RINGCENTRAL INCPriority: Dec 31, 2020Filed: Jan 10, 2023Published: May 18, 2023
Est. expiryDec 31, 2040(~14.4 yrs left)· nominal 20-yr term from priority
G06Q 10/1093G06Q 10/063112G06Q 10/06G06Q 10/063118G06Q 10/107G06Q 10/06311G06Q 10/1095
73
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Claims

Abstract

A method for associating a team with a meeting for prospective meeting attendees includes training a machine-learning algorithm to determine a match metric between a group of meeting attendees and a plurality of teams; in response to receiving a meeting invitation for a meeting, determining, by the processor, using the trained machine-learning algorithm, a match metric for each of the plurality of teams in a team system; in response to determining that the match metric for each of the plurality of teams is below a threshold value, creating, by the processor, a new team; associating, by the processor, the new team with the meeting for prospective meeting attendees; and sending, to the prospective meeting attendees, a link to the new team.

Claims

exact text as granted — not AI-modified
What is claimed is: 
     
         1 . A method for associating a team with a meeting for prospective meeting attendees, the method comprising:
 training, by a processor, a machine-learning algorithm to determine a match metric between a group of meeting attendees and a plurality of teams;   in response to receiving a meeting invitation for a meeting, determining, by the processor, using the trained machine-learning algorithm, a match metric for each of the plurality of teams in a team system;   in response to determining that the match metric for each of the plurality of teams is below a threshold value, creating, by the processor, a new team;   associating, by the processor, the new team with the meeting for prospective meeting attendees; and   sending, to the prospective meeting attendees, a link to the new team.   
     
     
         2 . The method of  claim 1 , further comprising:
 determining that an attendee from the prospective meeting attendees does not have an account with the team system; and   in response to determining that the attendee does not have an account, prompting the attendee to create the account.   
     
     
         3 . The method of  claim 1 , wherein the team system comprises an interface for members of the plurality of teams to communicate via text, data files, audio, or video. 
     
     
         4 . The method of  claim 1 , wherein training the machine-learning algorithm to determine the match metric between the group of meeting attendees and the plurality of teams comprises training based on a topic for the meeting. 
     
     
         5 . The method of  claim 1 , wherein the meeting invitation is an electronic communication transmitted via an electronic communication system for transmitting and storing electronic communications. 
     
     
         6 . The method of  claim 5 , wherein training the machine-learning algorithm to determine the match metric between the group of meeting attendees and the plurality of teams comprises training based on a plurality of electronic communications stored by the electronic communication system, each one of the plurality of electronic communications transmitted between a group of prospective meeting attendees from the prospective meeting attendees. 
     
     
         7 . The method of  claim 6 , wherein training the machine-learning algorithm to determine the match metric between the group of meeting attendees and the plurality of teams comprises training based on a topic for each one of the plurality of electronic communications. 
     
     
         8 . The method of  claim 1 , further comprising inviting a member of the new team to the meeting when the member is not identified as one of the prospective meeting attendees. 
     
     
         9 . The method of  claim 8 , wherein a decision for inviting the member is determined by a certification board. 
     
     
         10 . The method of  claim 1 , wherein the match metric is based on:
 data identifying the prospective meeting attendees;   data identifying members for each one of the plurality of teams;   information about a topic for the meeting; and   a plurality of subjects corresponding to the plurality of teams.   
     
     
         11 . The method of  claim 10 , wherein the match metric is further based on a date and time of each one of a plurality of electronic communications. 
     
     
         12 . The method of  claim 1 , wherein the associating comprises providing the prospective meeting attendees with a link to an interface for the new team. 
     
     
         13 . A non-transitory computer-readable medium storing instructions that, when executed by a processor, result in the processor performing operations comprising:
 training, by a processor, a machine-learning algorithm to determine a match metric between a group of meeting attendees and a plurality of teams;   in response to receiving a meeting invitation for a meeting, determining, by the processor, using the trained machine-learning algorithm, a match metric for each of the plurality of teams in a team system;   in response to determining that the match metric for each of the plurality of teams is below a threshold value, creating, by the processor, a new team;   associating, by the processor, the new team with the meeting for prospective meeting attendees; and   sending, to the prospective meeting attendees, a link to the new team.   
     
     
         14 . The non-transitory computer-readable medium of  claim 13 , further storing instructions that, when executed by the processor, result in the processor performing operations further comprising:
 determining that an attendee from the prospective meeting attendees does not have an account with the team system; and   in response to determining that the attendee does not have an account, prompting the attendee to create the account.   
     
     
         15 . The non-transitory computer-readable medium of  claim 13 , wherein the team system comprises an interface for members of the plurality of teams to communicate via text, data files, audio, or video. 
     
     
         16 . The non-transitory computer-readable medium of  claim 13 , wherein training the machine-learning algorithm to determine the match metric between the group of meeting attendees and the plurality of teams comprises training based on a topic for the meeting. 
     
     
         17 . The non-transitory computer-readable medium of  claim 13 , wherein the meeting invitation is an electronic communication transmitted via an electronic communication system for transmitting and storing electronic communications. 
     
     
         18 . The non-transitory computer-readable medium of  claim 17 , wherein training the machine-learning algorithm to determine the match metric between the group of meeting attendees and the plurality of teams comprises training based on a plurality of electronic communications stored by the electronic communication system, each one of the plurality of electronic communications transmitted between a group of prospective meeting attendees from the prospective meeting attendees. 
     
     
         19 . The non-transitory computer-readable medium of  claim 18 , wherein training the machine-learning algorithm to determine the match metric between the group of meeting attendees and the plurality of teams comprises training based on a topic for each one of the plurality of electronic communications. 
     
     
         20 . The non-transitory computer-readable medium of  claim 13 , further comprising inviting a member of the new team to the meeting when the member is not identified as one of the prospective meeting attendees.

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