Abstract: A computing system may automatically infer one or more events that occur during an application session involving activity on a network, such as the Internet. Such an application session may be interactions with, for example, social networking websites, banking websites, news websites, and so on. Events are any of a number of activities or transactions that may occur during the application session. The computing system may automatically infer an event by gathering network transaction data for network transactions performed by one or more client devices of a wireless communication network. The computing system may generate a network activity signature based, at least in part, on the network transaction data and apply pattern recognition and/or machine learning to the network activity signature to infer events associated with the network activity signature.

Abstract: A method includes receiving identification information with a first electronic device and via a network, wherein the identification information is unique to a particular user device accessing webpage content, determining whether the identification information matches an identifier of a plurality of identifiers stored in a memory associated with the first electronic device, generating a reliability metric based on the determining, and providing the reliability metric to a second electronic device different from the first electronic device via the network. In such methods, the reliability metric is accessible by at least one bidder during a real-time auction associated with the webpage content.

Abstract: A method includes receiving identification information with a first electronic device and via a network, wherein the identification information is unique to a particular user device accessing webpage content, determining whether the identification information matches an identifier of a plurality of identifiers stored in a memory associated with the first electronic device, generating a reliability metric based on the determining, and providing the reliability metric to a second electronic device different from the first electronic device via the network. In such methods, the reliability metric is accessible by at least one bidder during a real-time auction associated with the webpage content.

Abstract: A computing system may automatically infer one or more events that occur during an application session involving activity on a network, such as the Internet. Such an application session may be interactions with, for example, social networking websites, banking websites, news websites, and so on. Events are any of a number of activities or transactions that may occur during the application session. The computing system may automatically infer an event by gathering network transaction data for network transactions performed by one or more client devices of a wireless communication network. The computing system may generate a network activity signature based, at least in part, on the network transaction data and apply pattern recognition and/or machine learning to the network activity signature to infer events associated with the network activity signature.

Abstract: A method includes receiving identification information with a first electronic device and via a network, wherein the identification information is unique to a particular user device accessing webpage content, determining whether the identification information matches an identifier of a plurality of identifiers stored in a memory associated with the first electronic device, generating a reliability metric based on the determining, and providing the reliability metric to a second electronic device different from the first electronic device via the network. In such methods, the reliability metric is accessible by at least one bidder during a real-time auction associated with the webpage content.