Automated categorization of groups in a social network
A method for automatically categorizing groups of users in a social network, and using the categories to propose matches between groups or users and groups includes accessing content shared within a group in a social network application, processing the shared content with at least one machine learning model to determine labels for the content, determining categories for the group based on the labels for the content, accessing matching criteria for a user of the social network application, generating a match between the user and the group based on the matching criteria for the user and the categories for the group, supplying data indicative of the match to a client device of the user, receiving a match acceptance from the client device, and in response to receiving the match acceptance, providing the user access to the group in the social network application.
1 . A computer-implemented method, comprising:
accessing content shared within a group in a social network application;
processing the shared content with at least one machine learning model to determine one or more labels for the content shared within the group;
determining one or more categories for the group based on the one or more labels for the content shared within the group;
accessing matching criteria for a user of the social network application;
generating a match between the user and the group based on the matching criteria for the user and the one or more categories for the group;
supplying data indicative of the match to a client device of the user;
receiving a match acceptance from the client device; and
in response to receiving the match acceptance, providing the user access to the group in the social network application.
2 . The method of claim 1 , wherein the content comprises at least one of text, audio, image, or video data shared within the group.
3 . The method of claim 1 , wherein the group comprises one or more users of the social network application, and wherein the content comprises content shared by at least one of the one or more users in a communication channel associated with the group.
4 . The method of claim 3 , wherein the communication channel comprises at least one of a group chat, a group web page, or a group streaming channel.
5 . The method of claim 1 , wherein the at least one machine learning model is selected from a plurality of machine learning models based on a type of the content, with the type of content comprising at least one of text, audio, image, or video.
6 . The method of claim 1 , further comprising:
receiving, from the client device, profile information for the user; and
generating the matching criteria for the user based on the profile information.
7 . The method of claim 1 , further comprising:
receiving, from the client device, user content for the user, the user content including at least one of content shared by the user in the social network application or content that the user interacted with in the social network application;
processing the user content with at least one machine learning model to determine one or more labels for the user content; and
generating the matching criteria for the user based on the one or more labels for the user content.
8 . The method of claim 1 , wherein the data indicative of the match causes the client device to display the match and the one or more categories for the group.
9 . The method of claim 1 , wherein providing the user access to the group in the social network application comprises enabling network communication between the user and the group.
10 . The method of claim 1 , wherein providing the user access to the group in the social network application comprises enabling the user to share content with the group.
11 . The method of claim 1 , further comprising:
supplying data indicative of the match to at least one client device associated with at least one user in the group;
receiving a match acceptance from the at least one client device; and
in response to receiving the match acceptance, providing the user access to the group in the social network application.
12 . The method of claim 1 , wherein the one or more categories for the group comprise a subset of the one or more labels for the content.
13 . The method of claim 1 , wherein the at least one machine learning model is trained based on labeled content received from one or more users of the social network application.
14 . The method of claim 1 , wherein the content comprises streamed video content.
15 . The method of claim 14 , wherein processing the shared content with the at least one machine learning model to determine the one or more labels for the content comprises:
analyzing the streamed video content in real-time or near-real time.
16 . The method of claim 14 , wherein processing the shared content with the at least one machine learning model to determine the one or more labels for the content comprises:
analyzing a copy of the streamed video content after a streaming of the streamed video content has ended.
17 . The method of claim 1 , further comprising:
in response to receiving the match acceptance, adding the user to the group within the social network application.
18 . A system, comprising:
one or more processors; and
one or more storage devices storing instructions executable by the one or more processors to perform operations comprising:
accessing content shared within a group in a social network application;
processing the shared content with at least one machine learning model to determine one or more labels for the content shared within the group;
determining one or more categories for the group based on the one or more labels for the content shared within the group;
accessing matching criteria for a user of the social network application;
generating a match between the user and the group based on the matching criteria for the user and the one or more categories for the group;
supplying data indicative of the match to a client device of the user;
receiving a match acceptance from the client device; and
in response to receiving the match acceptance, providing the user access to the group in the social network application.
19 . One or more non-transitory computer-readable storage media storing instructions executable by one or more processors to perform operations comprising:
accessing content shared within a group in a social network application;
processing the shared content with at least one machine learning model to determine one or more labels for the content shared within the group;
determining one or more categories for the group based on the one or more labels for the content shared within the group;
accessing matching criteria for a user of the social network application;
generating a match between the user and the group based on the matching criteria for the user and the one or more categories for the group;
supplying data indicative of the match to a client device of the user;
receiving a match acceptance from the client device; and
in response to receiving the match acceptance, providing the user access to the group in the social network application.