Abstract: Systems and methods for dynamic user profile management are provided. One aspect of the systems and methods includes receiving, by a lookup component, a request for a user profile; computing, by a profile component, a time-to-live (TTL) refresh value for the user profile based on a lookup history of the user profile; updating, by the profile component, a TTL value of the user profile based on the request and the TTL refresh value; storing, by the profile component, the user profile and the updated TTL value in the edge database; and removing, by the edge database, the user profile from the edge database based on the updated TTL value.

Abstract: Systems and methods for dynamic user profile projection are provided. One or more aspects of the systems and methods includes computing, by a prediction component, a predicted number of lookups for a future time period based on a lookup history of a user profile using a lookup prediction model; comparing, by the prediction component, the predicted number of lookups to a lookup threshold; and transmitting, by a projection component, the user profile to an edge server based on the comparison.

Abstract: Systems and methods for dynamic user profile management are provided. One aspect of the systems and methods includes receiving, by a lookup component, a request for a user profile; computing, by a profile component, a time-to-live (TTL) refresh value for the user profile based on a lookup history of the user profile; updating, by the profile component, a TTL value of the user profile based on the request and the TTL refresh value; storing, by the profile component, the user profile and the updated TTL value in the edge database; and removing, by the edge database, the user profile from the edge database based on the updated TTL value.

Abstract: Systems and methods for dynamic user profile projection are provided. One or more aspects of the systems and methods includes computing, by a prediction component, a predicted number of lookups for a future time period based on a lookup history of a user profile using a lookup prediction model; comparing, by the prediction component, the predicted number of lookups to a lookup threshold; and transmitting, by a projection component, the user profile to an edge server based on the comparison.

Abstract: Systems and methods for dynamic user profile management are provided. One aspect of the systems and methods includes receiving, by a lookup component, a request for a user profile; computing, by a profile component, a time-to-live (TTL) refresh value for the user profile based on a lookup history of the user profile; updating, by the profile component, a TTL value of the user profile based on the request and the TTL refresh value; storing, by the profile component, the user profile and the updated TTL value in the edge database; and removing, by the edge database, the user profile from the edge database based on the updated TTL value.

Abstract: Systems and methods for dynamic user profile projection are provided. One or more aspects of the systems and methods includes computing, by a prediction component, a predicted number of lookups for a future time period based on a lookup history of a user profile using a lookup prediction model; comparing, by the prediction component, the predicted number of lookups to a lookup threshold; and transmitting, by a projection component, the user profile to an edge server based on the comparison.

Abstract: Techniques for providing content to a computing device of a user are described. For example, a platform hosts a plurality of tools includes an analytics tool and a content tool. Input of a customer of the platform is received and specifies user segments and content to be provided accordingly. The tools are updated based on the customer input. User interactions of the user are also received and analyzed by, for example, the analytics tool. The analytics tool outputs an indication that the user is associated with a user segment based on the analysis. The output identifies the user segment and the user based on a format usable by the other tools. In turn, the content tool automatically receives and uses the output as an input to determine the content and the target of the content. Accordingly, the content tool provides the content to the computing device of the user.

Abstract: Techniques for providing content to a computing device of a user are described. For example, a platform hosts a plurality of tools includes an analytics tool and a content tool. Input of a customer of the platform is received and specifies user segments and content to be provided accordingly. The tools are updated based on the customer input. User interactions of the user are also received and analyzed by, for example, the analytics tool. The analytics tool outputs an indication that the user is associated with a user segment based on the analysis. The output identifies the user segment and the user based on a format usable by the other tools. In turn, the content tool automatically receives and uses the output as an input to determine the content and the target of the content. Accordingly, the content tool provides the content to the computing device of the user.

Abstract: A system and method are provided for staggering the start time of scheduled actions for a group of networked addressable devices. A time period in which a scheduled action is to be performed may be determined. The time period may be divided into timeslots based on the number of addressable devices in the network. Based, at least in part, on a unique characteristic associated with each addressable device, a unique staggered start time may be assigned to each addressable device.