Methods and systems for associating a team with a meeting
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-modifiedWhat 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.Join the waitlist — get patent alerts
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