Abstract: Selective regulation of information transmission from mobile applications to an external system. A privacy policy is configured for and mapped to each of a multiplicity of mobile application concerns, with each privacy policy comprising rules regulating the transmission of information to an external system. Instrumentation instructions can be integrated with a mobile application or mobile operating system. The instrumentation instructions direct the mobile device to submit a privacy policy request comprising an identifier from the mobile device to a third-party privacy compliance system and enable sending information from the mobile device to the external system, subject to the privacy policy. The privacy policy request is received at the third-party privacy compliance system which selects the privacy policy based on an identifier and sends the privacy policy to the mobile device for implementation.

Abstract: Embodiments of the invention build models to predict the likelihood of entities that operate in a given identifier space also operating in a disjoined identifier space based on a source panel of entities that operate in one or both of the identifier spaces. In operation, a model building engine builds a model based on features associated with the source panel and features associated with standard populations in the given identifier space. The model is used to determine whether the target entity is more similar to those entities in the source panel that operate only in the given identifier space or those entities in the source panel that operate in both identifier spaces.

Abstract: Selective regulation of information transmission from mobile applications to a third-party privacy compliant target system. A privacy policy is configured for and mapped to each of a multiplicity of mobile application concerns, with each privacy policy comprising rules regulating the transmission of information to a third-party privacy compliant target system. Instrumentation instructions can be integrated with a mobile application and provided to a mobile device. The instrumentation instructions direct the mobile application to submit a privacy policy request comprising a mobile application identifier from the mobile device to a third-party privacy compliance system and enable sending information from the mobile device to the third-party privacy compliant target system, subject to the privacy policy.

Abstract: Models are built based on existing histories in one identifier space to infer features of entities in a different identifier space. A source model is built using features of an archetypical population in a given identifier space and the standard population. A join panel, i.e., a set of entities operating across both the given identifier space and a second disjoined identifier space, is scored using the source model. Based on the scores and features associated with the entities in the join panel within the second identifier space, a target model specific to the second identifier space is built. An audience of entities within the second identifier space can then be scored using the target model to identify entities that are similar to the archetypical population.

Abstract: Selective regulation of information transmission from mobile applications to a third-party privacy compliant target system. A privacy policy is configured for and mapped to each of a multiplicity of mobile application concerns, with each privacy policy comprising rules regulating the transmission of information to a third-party privacy compliant target system. Instrumentation instructions can be integrated with a mobile application and provided to a mobile device. The instrumentation instructions direct the mobile application to submit a privacy policy request comprising a mobile application identifier from the mobile device to a third-party privacy compliance system and enable sending information from the mobile device to the third-party privacy compliant target system, subject to the privacy policy.

Abstract: Selective regulation of information transmission from mobile applications to a third-party privacy compliant target system. A privacy policy is configured for and mapped to each of a multiplicity of mobile application concerns, with each privacy policy comprising rules regulating the transmission of information to a third-party privacy compliant target system. Instrumentation instructions can be integrated with a mobile application and provided to a mobile device. The instrumentation instructions direct the mobile application to submit a privacy policy request comprising a mobile application identifier from the mobile device to a third-party privacy compliance system and enable sending information from the mobile device to the third-party privacy compliant target system, subject to the privacy policy.

Abstract: Selective regulation of information transmission from mobile applications to a third-party privacy compliant target system. A privacy policy is configured for and mapped to each of a multiplicity of mobile application concerns, with each privacy policy comprising rules regulating the transmission of information to a third-party privacy compliant target system. Instrumentation instructions can be integrated with a mobile application and provided to a mobile device. The instrumentation instructions direct the mobile application to submit a privacy policy request comprising a mobile application identifier from the mobile device to a third-party privacy compliance system and enable sending information from the mobile device to the third-party privacy compliant target system, subject to the privacy policy.

Abstract: Selective regulation of information transmission from mobile applications to a third-party privacy compliant target system. A privacy policy is configured for and mapped to each of a multiplicity of mobile application concerns, with each privacy policy comprising rules regulating the transmission of information to a third-party privacy compliant target system. Instrumentation instructions can be integrated with a mobile application and provided to a mobile device. The instrumentation instructions direct the mobile application to submit a privacy policy request comprising a mobile application identifier from the mobile device to a third-party privacy compliance system and enable sending information from the mobile device to the third-party privacy compliant target system, subject to the privacy policy.

Abstract: Embodiments of the invention build models to predict the likelihood of entities that operate in a given identifier space also operating in a disjoined identifier space based on a source panel of entities that operate in one or both of the identifier spaces. In operation, a model building engine builds a model based on features associated with the source panel and features associated with standard populations in the given identifier space. The model is used to determine whether the target entity is more similar to those entities in the source panel that operate only in the given identifier space or those entities in the source panel that operate in both identifier spaces.

Abstract: Models are built based on existing histories in one identifier space to infer features of entities in a different identifier space. A source model is built using features of an archetypical population in a given identifier space and the standard population. A join panel, i.e., a set of entities operating across both the given identifier space and a second disjoined identifier space, is scored using the source model. Based on the scores and features associated with the entities in the join panel within the second identifier space, a target model specific to the second identifier space is built. An audience of entities within the second identifier space can then be scored using the target model to identify entities that are similar to the archetypical population.

Abstract: Selective regulation of information transmission from mobile applications to a third-party privacy compliant target system. A privacy policy is configured for and mapped to each of a multiplicity of mobile application concerns, with each privacy policy comprising rules regulating the transmission of information to a third-party privacy compliant target system. Instrumentation instructions can be integrated with a mobile application and provided to a mobile device. The instrumentation instructions direct the mobile application to submit a privacy policy request comprising a mobile application identifier from the mobile device to a third-party privacy compliance system and enable sending information from the mobile device to the third-party privacy compliant target system, subject to the privacy policy.

Abstract: Embodiments of the invention build models to predict the likelihood of entities that operate in a given identifier space also operating in a disjoined identifier space based on a source panel of entities that operate in one or both of the identifier spaces. In operation, a model building engine builds a model based on features associated with the source panel and features associated with standard populations in the given identifier space. The model used to determine whether the target entity is more similar to those entities in the source panel that operate only in the given identifier space or those entities in the source panel that operate in both identifier spaces.

Abstract: Methods, systems, and articles of manufacture of the present invention may assist in planning, execution, and evaluation of advertising campaigns on the Internet. Particularly, methods, systems, and articles of manufacture of the present invention may help evaluate and/or predict traffic volume on the Internet. An exemplary method for predicting traffic may comprise receiving historical traffic data for a location, and computing a prediction of traffic volume for a particular time at the location using the historical traffic data and at least one prediction algorithm.

Abstract: Methods, systems, and articles of manufacture of the present invention may assist in planning, execution, and evaluation of advertising campaigns on the Internet. Particularly, methods, systems, and articles of manufacture of the present invention may help evaluate and/or predict traffic volume on the Internet. An exemplary method for predicting traffic may comprise receiving historical traffic data for a location, and computing a prediction of traffic volume for a particular time at the location using the historical traffic data and at least one prediction algorithm.

Abstract: Methods, systems, and articles of manufacture of the present invention may assist in planning, execution, and evaluation of advertising campaigns on the Internet. Particularly, methods, systems, and articles of manufacture of the present invention may help evaluate and/or predict traffic volume on the Internet. An exemplary method for predicting traffic may comprise receiving historical traffic data for a location, and computing a prediction of traffic volume for a particular time at the location based on a linear relationship in the historical traffic data.