Patent ID: 11900482
Assignee: PINTEREST, INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A computer-implemented method, comprising:
determining that a content item was posted to a social networking service by a first user of the social networking service;
identifying a first plurality of users of the social networking service that previously posted the content item to the social networking service;
determining, for each user of the first plurality of users and using a first trained machine learning model, a user engagement score in connection with the posting of the content item by the first user, wherein the user engagement score represents a first likelihood of increasing an engagement of a respective user with the social networking service and is based at least in part on:
an activity level of the respective user of the first plurality of users during a first time period; and
a second likelihood that the respective user will engage with the social networking service based on the posting of the content item by the first user;

identifying a second plurality of users from the first plurality of users based at least in part on user engagement scores;
generating, for each user of the second plurality of users, a communication to be sent to each respective user;
transmitting the communication to the second plurality of users;
obtaining activity associated with the second plurality of users in response to the communication; and
updating, based at least in part on the activity, the first trained machine learning model.