Patent No. US10715878 (titled "Targeted television advertisements based on online behavior") on Dec 20, 2018. The application was issued on Jul 14, 2020.
’878 is related to the field of cross-media targeted advertising and digital device synchronization. Specifically, it addresses the technical challenge of linking a user’s online browsing behavior on one device, such as a computer or mobile phone, to their television viewing experience on a separate device, such as a set-top box, without relying on personally identifiable information.
The underlying idea behind ’878 is that devices belonging to the same household or office can be logically grouped by analyzing their shared network footprint over time. By observing that multiple devices access the Internet through the same dynamically assigned IP address at the same time, a remote server can infer they are behind the same local router, effectively creating a virtual map of a user's hardware ecosystem without ever knowing the user's actual identity.
The claims of ’878 focus on a method and system for identifying an association between multiple devices within a local area network to enable cross-device actions. This is achieved by storing association-detection information—specifically device identifiers, IP addresses assigned to a modem, and timestamps—to determine that different devices have accessed the network through a common IP address during a specific window of time.
In practice, the system utilizes this association to take an automatic action, such as selecting a television advertisement based on the behavioral or demographic data harvested from a different device in the same group. For example, if a user searches for travel deals on a laptop, the system recognizes the laptop's connection history matches the set-top box's history and subsequently routes a travel-related commercial to that specific television.
This approach differs from prior solutions by eliminating the need for login credentials or static identifiers to bridge the gap between different media platforms. By leveraging the temporal correlation of transient network addresses, the invention provides a privacy-sensitive mechanism for behavioral targeting that remains effective even as mobile devices move between different networks or as service providers rotate IP assignments.
In the mid-2000s when ’878 was filed, television and internet services were typically implemented using distinct delivery infrastructures, even when provided by the same entity. At a time when systems commonly relied on separate hardware for media consumption and web browsing, correlating user activity across these platforms was technically difficult without the use of personally identifiable information (PII). When hardware and software constraints made the real-time synchronization of dynamic IP addresses between disparate network gateways non-trivial, advertisers often relied on static identifiers or manual registration to link a viewer's online interests with their television viewing profile.
The disclosed invention represents a meaningful technical advancement through the automated electronic association of online access IP addresses with television set-top box IP addresses to enable cross-medium behavioral targeting. This architectural shift allows for the selection and delivery of targeted television advertisements based on specific online activities—such as web searches or site visits—without requiring the collection or storage of personally identifiable information. By integrating profile data derived from one network interface to influence content delivery on a separate media interface, the system overcomes the technical constraint of cross-platform user identification while maintaining privacy through the use of transient network identifiers.
US Patent 10,715,878 contains a total of 23 claims, with claims 1, 13, and 22 serving as the independent claims. These independent claims focus on a method, a computer system, and a data storage medium for identifying associations between multiple electronic devices sharing a common local area network by analyzing device identifiers, dynamic IP addresses, and timestamps to trigger automatic cross-device actions based on user profile data. The dependent claims serve to further refine these processes by specifying the types of devices involved, such as mobile units or set-top boxes, detailing the collection of behavioral data through redirections, and defining the automatic actions as the selection and delivery of targeted advertisements without using personally identifiable information.
Definitions of key terms used in the patent claims.
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