原始名称记载: AMADEUS S.A.S.

Method, systems and computer programs for content provision are provided. A requestor node generates an anonymized and compressed representation of the user profile using a user data embedding machine-learning model inputting user data of a user profile. The content retrieval platform receives the anonymized and compressed representation of the user profile and a content retrieval request and inputs the anonymized and compressed representation of the user profile and the content retrieval request to a content determination machine-learning model to determine content in response to the content retrieval request.

A computing device receives: input and output from a programmatic application that refines given resource usage; and feedback data indicating feedback regarding the output from the programmatic application, the feedback data including negative feedback indicating a subset of the output that was changed or indicated as poor output. The computing device builds a prediction model comprising an ensemble of decision trees using the input and the output. Based on the feedback data, the computing device extracts, from the prediction model, new rules, which indicate instances of when the output is further refinable, the new rules covering at least a given portion of the output associated with negative feedback. The computing device adjusts the programmatic application, based on the new rules.