Abstract: A method relates to receiving, by a processing device executing a decision framework, a request comprising a plurality of attribute values associated with an opportunity to place an ad on one or more devices associated with a user, generating a state dynamic model comprising a plurality of state variables based on the plurality of attribute values associated with the opportunity, determining a plurality of utility functions, wherein each one of the plurality of utility function is determined based on at least one of the plurality of state variables, calculating a decision based on the plurality of utility functions, providing an ad to a selection of devices, tracking performance data for interactions with the ad, and dynamically improving performance of the system using the tracked performance data and a feedback loop.

Abstract: A method relates to receiving, by a processing device executing a decision framework, a request comprising a plurality of attribute values associated with an opportunity to place an ad on one or more devices associated with a user, generating a state dynamic model comprising a plurality of state variables based on the plurality of attribute values associated with the opportunity, determining a plurality of utility functions, wherein each one of the plurality of utility function is determined based on at least one of the plurality of state variables, calculating a decision based on the plurality of utility functions, wherein the decision comprises finding an extreme value of the utility functions to match one or more ads to the ad opportunity, and causing to provide the ad to a selection the one or more devices.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for providing data and analysis for advertising on networked devices. One of the methods includes creating a vector of identifiers representing an ad opportunity. The method includes linking data attributes that describe the ad opportunity to the identifiers. The method includes expressing the data attributes following predefined scheme of hierarchy. The method includes linking a taxonomy describing data attributes. The method includes obtaining outcome measurements of ad events associated with the ad opportunity. The method also includes associating user interaction events with the ad with at least one of the identifiers or data attributes associated with the identifier.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for providing data and analysis for advertising on networked devices. One of the methods includes creating a vector of identifiers representing an ad opportunity. The method includes linking data attributes that describe the ad opportunity to the identifiers. The method includes expressing the data attributes following predefined scheme of hierarchy. The method includes linking a taxonomy describing data attributes. The method includes obtaining outcome measurements of ad events associated with the ad opportunity. The method also includes associating user interaction events with the ad with at least one of the identifiers or data attributes associated with the identifier.

Abstract: A method, system, and apparatus provide the ability to target an audience of network devices. One of the methods includes receiving information from a source, the information associated with a device identifier. The method includes determining, based on the device identifier, a unique user identifier, wherein the unique user identifier identifies a user independent of network, media, and location. The method includes identifying at least one user attribute based on the received information. The method includes associating the user attribute with the unique user identifier. The method also includes storing the user attribute in a repository. The repository stores a plurality of other user attributes associated with the unique user identifier, the other stored user attributes being received from a plurality of different sources.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for an audience of network devices. One of the methods includes receiving information from a source, the information associated with a device identifier. The method includes determining, based on the device identifier, a unique user identifier, wherein the unique user identifier identifies a user independent of network, media, and location. The method includes identifying at least one user attribute based on the received information. The method includes associating the user attribute with the unique user identifier. The method also includes storing the user attribute in a repository. The repository stores a plurality of other user attributes associated with the unique user identifier, the other stored user attributes being received from a plurality of different sources.