Apparatus and method for relativistic event perception prediction and content creation
AssigneeAssurant, Inc.
InventorsRajiv Matta, Ron Brusky
Life of this patent
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Abstract
An apparatus, method, and computer program product are provided for the improved and automatic prediction of a relativistic, observer-specific perception and response to a potential event and, based at least in part on the predicted perception and response, generating and presenting observer-specific digital content items. Some example implementations employ predictive, machine-learning modeling to facilitate user-specific event perception and response prediction and the selection of particularized messages and other digital content items for presentation to the user.
Claims20
An apparatus comprising at least one processor and at least one memory including computer program code, the at least one memory and the computer program code configured to, with the at least one processor, cause the apparatus to:
- retrieve a user-specific digital content item set for a user comprising a first user-specific message, wherein retrieving the user-specific digital content item set comprises:
- generating, by a first model, a learned user profile by applying an event perception data object to the first model;
- applying the learned user profile to a plurality of potential messages;
- selecting the first user-specific message from the plurality of potential messages;
- and
- assigning the first user-specific message to the user-specific digital content item set;
- and
- generate a control signal causing a renderable object comprising the user-specific digital content item set to be displayed on a user interface of a client device associated with the user.
A method comprising:
- retrieving a user-specific digital content item set for a user comprising a first user-specific message, wherein retrieving the user-specific digital content item set comprises:
- generating, by a first model, a learned user profile by applying an event perception data object to the first model;
- applying the learned user profile to a plurality of potential messages;
- selecting the first user-specific message from the plurality of potential messages;
- and
- assigning the first user-specific message to the user-specific digital content item set;
- and
- generating a control signal causing a renderable object comprising the user-specific digital content item set to be displayed on a user interface of a client device associated with the user.
A non-transitory computer-readable medium storing computer-executable instructions for:
- retrieving a user-specific digital content item set for a user comprising a first user-specific message, wherein retrieving the user-specific digital content item set comprises:
- generating, by a first model, a learned user profile by applying an event perception data object to the first model;
- applying the learned user profile to a plurality of potential messages;
- selecting the first user-specific message from the plurality of potential messages;
- and
- assigning the first user-specific message to the user-specific digital content item set;
- and
- generating a control signal causing a renderable object comprising the user-specific digital content item set to be displayed on a user interface of a client device associated with the user.
Dependencies are inferred from the claim text.