Enhanced value component predictions using contextual machine-learning models
AssigneeLive Nation Entertainment, Inc.
InventorsJohn Carnahan, Mathieu Rodrigue
Life of this patent
Estimating the term…
Abstract
The present disclosure generally relates to systems and methods that intelligently generate reassignment value conditions for reassigning access rights. The systems and methods include executing a trained contextual machine-learning model to generate predictions of value components of the reassignment value condition, which once satisfied, enables an access-right requestor to have an assigned access right reassigned to the access-right requestor.
Claims20
A computer-implemented method, comprising:
- collecting, at a primary load management system, a data set from a plurality of user devices, the data set including one or more attributes associated with an interaction between a user device of the plurality of user devices and the primary load management system;
- receiving, at an interface, a constraint for querying one or more databases, the constraint being received from an access-right requestor device;
- querying the one or more databases using the constraint, the querying causing one or more assigned access rights of a set of assigned access rights to be identified, each assigned access right of the one or more assigned access rights satisfying the constraint;
- displaying, at the interface, the one or more assigned access rights that satisfy the constraint;
- receiving a signal from the access-right requestor device, the signal requesting that a particular assigned access right of the one or more assigned access rights be reassigned to the access-right requestor device, the particular assigned access right having been assigned to a particular access-right holder and granting access to the particular access-right holder to access a particular resource;
- generating a context vector associated with the access-right requestor device, the context vector being generated based on one or more features associated with an access-right requestor associated with the access-requestor device, the access-right requestor device, or the particular assigned access right;
- inputting the context vector into a trained contextual machine-learning model, the trained contextual machine-learning model having been trained using the collected data set, the trained contextual machine-learning model generating an output corresponding to a prediction of a value to use as a value component of a reassignment value condition specific to the particular assigned access right;
- and
- displaying, at the interface, the reassignment value condition of the particular assigned access right, the reassignment value condition being determined based on a combination of the one or more value components including the predicted value used as the value component, and the reassignment value condition, once satisfied, enabling the particular assigned access right to be reassigned from the particular access-right holder to the access-right requestor associated with the access-right requestor device.
A system, comprising:
- one or more processors;
- and
- a non-transitory computer-readable storage medium containing instructions which, when executed on the one or more processors, cause the one or more processors to perform operations including:
- collecting, at a primary load management system, a data set from a plurality of user devices, the data set including one or more attributes associated with an interaction between a user device of the plurality of user devices and the primary load management system;
- receiving, at an interface, a constraint for querying one or more databases, the constraint being received from an access-right requestor device;
- querying the one or more databases using the constraint, the querying causing one or more assigned access rights of a set of assigned access rights to be identified, each assigned access right of the one or more assigned access rights satisfying the constraint;
- displaying, at the interface, the one or more assigned access rights that satisfy the constraint;
- receiving a signal from the access-right requestor device, the signal requesting that a particular assigned access right of the one or more assigned access rights be reassigned to the access-right requestor device, the particular assigned access right having been assigned to a particular access-right holder and granting access to the particular access-right holder to access a particular resource;
- generating a context vector associated with the access-right requestor device, the context vector being generated based on one or more features associated with an access-right requestor associated with the access-requestor device, the access-right requestor device, or the particular assigned access right;
- inputting the context vector into a trained contextual machine-learning model, the trained contextual machine-learning model having been trained using the collected data set, the trained contextual machine-learning model generating an output corresponding to a prediction of a value to use as a value component of a reassignment value condition specific to the particular assigned access right;
- and
- displaying, at the interface, the reassignment value condition of the particular assigned access right, the reassignment value condition being determined based on a combination of the one or more value components including the predicted value used as the value component, and the reassignment value condition, once satisfied, enabling the particular assigned access right to be reassigned from the particular access-right holder to the access-right requestor.
A computer-program product tangibly embodied in a non-transitory machine-readable storage medium, including instructions configured to cause a data processing apparatus to perform operations including:
- collecting, at a primary load management system, a data set from a plurality of user devices, the data set including one or more attributes associated with an interaction between a user device of the plurality of user devices and the primary load management system;
- receiving, at an interface, a constraint for querying one or more databases, the constraint being received from an access-right requestor device;
- querying the one or more databases using the constraint, the querying causing one or more assigned access rights of a set of assigned access rights to be identified, each assigned access right of the one or more assigned access rights satisfying the constraint;
- displaying, at the interface, the one or more assigned access rights that satisfy the constraint;
- receiving a signal from the access-right requestor device, the signal requesting that a particular assigned access right of the one or more assigned access rights be reassigned to the access-right requestor device, the particular assigned access right having been assigned to a particular access-right holder and granting access to the particular access-right holder to access a particular resource;
- generating a context vector associated with the access-right requestor device, the context vector being generated based on one or more features associated with an access-right requestor associated with the access-requestor device, the access-right requestor device, or the particular assigned access right;
- inputting the context vector into a trained contextual machine-learning model, the trained contextual machine-learning model having been trained using the collected data set, the trained contextual machine-learning model generating an output corresponding to a prediction of a value to use as a value component of a reassignment value condition specific to the particular assigned access right;
- and
- displaying, at the interface, the reassignment value condition of the particular assigned access right, the reassignment value condition being determined based on a combination of the one or more value components including the predicted value used as the value component, and the reassignment value condition, once satisfied, enabling the particular assigned access right to be reassigned from the particular access-right holder to the access-right requestor.
Dependencies are inferred from the claim text.