Patent ID: 11922143
Assignee: nan
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A system configured to provide a user interface that facilitates application development of applications that utilize one or more underlying machine-learning models to perform application functions, the system comprising:
one or more physical processors configured by machine-readable instructions to:
effectuate presentation of an application development interface to developers through client computing platforms associated with the developers, wherein the application development interface facilitates the application development through user customization of feature values of application features, wherein the application development interface includes user interface fields configured to receive entry and/or selection by the developers of the feature values for the application features, wherein the application features include an underlying model feature, and wherein the user interface fields include an underlying model selection field configured to receive the entry and/or the selection of an underlying model feature value that specifies a particular machine-learning model, from among a set of potential machine-learning models, to be implemented in performance of the applications functions;
receive, from the client computing devices, input information indicating the feature values entered and/or selected by the developers via the user interface fields, wherein the input information includes first input information indicating the feature values of a first feature values set for a first application, wherein the first feature values set is received from a first client computing platform associated with a first developer, wherein the first feature values set includes a first underlying model feature value that specifies a first machine-learning model to be implemented in performance of application functions of the first application, wherein the first machine-learning model is capable of being refined based on response records for individual users to individualize outputs generated by the first machine-learning model for individual ones of the users, wherein refining the first machine-learning model includes training the first machine-learning model on training information, and wherein the training information includes the response records for individual ones of the users;
responsive to the receipt of the first input information, configure a first application in accordance with the feature values included in the first feature values set, such that the first application implements the first machine-learning model to perform one or more applications functions in accordance with the first underlying model feature value included in the first feature values set; and
provide the first configured application for use by one or more users, wherein providing the first configured application includes publishing the first configured application on an application marketplace, such that the first configured application is published on the application marketplace.