Patent ID: 11893067
Assignee: BLOCK, INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 3:
4. A method, implemented by at least one computing device, the method comprising:
monitoring, by the at least one computing device, data from an information source, wherein monitoring the data includes parsing of text in the data;
identifying, based on the parsing of text in the data, respective frequencies at which a plurality of topics are respectively mentioned in the data from the information source;
determining, by the at least one computing device and based on the monitoring of the data, a plurality of trending topics indicated by the data based on the respective frequencies at which the plurality of topics are respectively mentioned in the data from the information source;
accessing, by the at least one computing device, user information associated with a user;
identifying, by the at least one computing device and based on the user information about the user, a relevant trending topic of the plurality of trending topics, wherein the relevant trending topic is determined to be relevant to the user;
transmitting, from the at least one computing device to a user mobile device associated with the user, a recommendation alert, wherein the recommendation alert is formatted based on a local application and is indicative of the relevant trending topic, wherein the local application is stored on the user mobile device;
triggering the user mobile device to surface the recommendation alert to recommend the relevant trending topic within an interface of the local application on the user mobile device;
receiving, by the at least one computing device, an indication of an interaction with the recommendation alert via the user mobile device; and
facilitating, by the at least one computing device and in response to receiving the indication, at least one transfer of at least one asset from an account of the user to a plurality of accounts associated with a plurality of specified recipient entities associated with the relevant trending topic according to proportions indicated by a specified distribution.