Block, Inc.

Linnea Perelli-Minetti

Theodore Kosev

Caroline Hollis

Connor H Dunn

Emily McLinden

Kara Lee

An adaptive collaboration platform is described. In accordance with the described techniques, a request is received to generate collaboration recommendations for an artist. A collaboration system processes artist data for the artist with additional artist data for other artists in an artist population to generate collaboration recommendations for the artist. The collaboration recommendations are exposed to the artist via a user interface of the collaboration system. The collaboration recommendations recommend at least one of the other artists as a collaborator for the artist. The user interface of the collaboration system also enables the artist to form a communication channel with the collaborator.

Adaptive collaboration recommendation platform

A recommendation system is described, which is configured to generate and output a recommendation for an artist, an artist's authorized agent, or combinations thereof, regarding an action to perform for increasing consumption of media content items associated with the artist. In implementations, consumption of one or more media content items associated with an artist is monitored. Based on the monitored consumption, the artist is assigned to an artist segment. Recommendations are then generated for the artist based on artist data for the artist as well as historical data associated with different artists that are included in the same artist segment or that were previously associated with the same artist segment. A user interface is generated to display information describing data associated with the artist and present controls that are selectable to initiate performance of a recommended action.

Personalized artist data with curated action items

One or more processors receive, from a payroll application, payroll data specifying employment and payroll information associated with an employer. The payroll application is associated with a payment service. Transaction data is received specifying payments between one or more customers and the employer. A trained model is used to generate a risk score based at least in part on the payroll data and the transaction data, the model having been trained using past payroll data and past transaction data associated with a plurality of merchants. Based at least in part on determining that the risk score satisfies a threshold, an instruction is sent to cause the payroll application to present an interface element in a user interface of the payroll application, Selection of the interface element triggers a delay of an electronic withdrawal of funds from the employer account from a first date to a later date.

Electronic payroll funds transfer delay and failed transfer coverage

The proposed system allows merchants to have more time to finalize payroll and to have access to capital for payroll processing. This system/process may include identifying eligible employer devices based on a risk score and transaction data received by the system. The system and process further includes providing an interface element via a user interface that activates a delay upon selection, and delaying initiation of an electronic payroll payment from a first date to a second date responsive to receiving selection of the interface element.

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New York, NY, United States of America

Linnea Perelli-Minetti