Patent No. US8244582 (titled "Method and stored program for accumulating descriptive profile data along with source information for use in targeting third-party advertisements") on May 25, 2011. The application was issued on Aug 14, 2012.
’582 is related to the field of data-communications and automated profile management. Specifically, it addresses the technical challenge of aggregating fragmented consumer data across disparate sources to create high-resolution profiles for targeted advertising and actuarial analysis.
The underlying idea behind ’582 is the creation of a mercantile brokerage for information attributes, where individual data points—rather than entire databases—are treated as currency. By facilitating micro-transactions between unaffiliated parties, the system incentivizes the sharing of partial profiles to build a more accurate, centralized composite record.
The claims of ’582 focus on an automated method for collecting profiles via URL redirection. When a user computer accesses a third-party website, the system electronically receives a partial profile through this redirection, merges it into a maintained profile for that specific entity, and logs which third party contributed each specific attribute for the purpose of targeted advertising.
In practice, the invention functions as a clearinghouse that tracks the provenance and credibility weighting of data. When a website redirects a visitor's browser to the system's server, the system can identify the visitor via cookies and either acquire new attributes from the website or sell existing profile data back to the website to improve the visitor's experience.
This approach differs from prior methods by shifting the focus from bulk database sales to a micro-payment royalty model. Instead of a one-time transaction, the system maintains a ledger of contributions, allowing data providers to earn recurring revenue whenever their specific attribute—such as a verified age or interest—is utilized to refine a targeting decision.
In the late 1990s when ’582 was filed, information commerce was typically implemented using the sale of monolithic databases or entire records, such as mailing lists or credit reports, rather than discrete data points. At a time when systems commonly relied on massive clerical efforts and multi-year transactional accumulations to build data clusters, the integration of disparate data sources was often limited to large-scale batch processing of whole files. Furthermore, hardware and software constraints made the real-time valuation and exchange of individual information attributes non-trivial, as existing architectures were designed for bulk data transfers rather than granular, attribute-level brokerage.
The disclosed invention represents a technical advancement by shifting from bulk data commerce to a granular brokerage architecture that manages individual information attributes. This architectural shift is enabled by a system that dynamically receives partial profiles at a network juncture and performs real-time searching against a databank to identify missing or novel attributes. The technical advancement lies in the integration of a contracting mechanism directly into the data-communications topology, allowing for the automated assignment of economic value to discrete data points and the subsequent merging of these points into existing profiles. This capability enables the creation of high-precision data clusters through incremental, transaction-based updates, overcoming the technical constraints of traditional static database management.
This patent contains 20 total claims, with claims 1 and 11 serving as the independent claims. The independent claims focus on an automated process and a corresponding data storage medium for gathering user profile data from multiple unaffiliated third parties via URL redirection to facilitate targeted advertising and track the specific sources of the profile attributes. The dependent claims further define the system by introducing features such as payment identification for data contributors, the use of cookies for entity identification, the assessment of data credibility and pricing, and the selection of attributes based on their source.
Definitions of key terms used in the patent claims.
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