Systems and methods for objective-based scoring using machine learning techniques
AssigneeLive Nation Entertainment, Inc.
InventorsJohn Carnahan, Ajay Pondicherry, Vasanth Kumar
Life of this patent
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AssigneeLive Nation Entertainment, Inc.
InventorsJohn Carnahan, Ajay Pondicherry, Vasanth Kumar
Estimating the term…
Certain aspects and features of the present disclosure relate to systems and methods that generate machine-learning models to predict whether user devices are likely to meet defined objectives. For example, a machine-learning model can be generated to predict whether or not a user device is likely to access a resource. In some implementations, a semi-supervised model can be used to determine to what extent user devices are predicted to satisfy the defined objective(s). For example, a resource-affinity parameter can be generated as a result of inputting various data points into a semi-supervised model. The various data points can be access from a plurality of data sources, and can represent one or more activities or attributes associated with a user. The value of the resource-affinity parameter can be evaluated to determine the extent to which the user is likely to meet an objective.
A computer-implemented method for managing load for access rights to resources, comprising:
A system for managing load for access rights to resources, comprising:
A computer-program product tangibly embodied in a non-transitory machine-readable storage medium, including instructions configured to cause a processing apparatus to perform operations including:
Dependencies are inferred from the claim text.