Patent No. US7979307 (titled "Method and stored program for accumulating descriptive profile data along with source information for use in targeting third-party advertisements") on Aug 6, 2008. The application was issued on Jul 12, 2011.
’307 is related to the field of data-communications and database management, specifically focusing on the automated collection and commercial brokerage of information attributes. It addresses the technical challenge of aggregating fragmented data points—such as demographic details, browsing habits, or purchase history—into comprehensive profiles that have higher economic value than their constituent parts. The background context involves a shift from selling static databases to a dynamic marketplace where individual data attributes are traded to improve the precision of targeted advertising and actuarial modeling.
The underlying idea behind ’307 is the creation of a centralized brokerage juncture that facilitates the exchange of granular data attributes between unaffiliated third parties. Rather than relying on massive, manual clerical efforts to build databases, the invention treats information as a liquid asset that can be bought, sold, or bartered in real-time. By using a brokerage representation model, the system allows data providers to earn micro-payments or royalties whenever their contributed attributes are used by others, while simultaneously allowing data consumers to fill gaps in their own records by purchasing specific missing attributes.
The claims of ’307 focus on an automated method for updating and maintaining entity profiles through URL redirection. When a user computer accesses a third-party website, the system receives a partial profile via an electronic redirect from a portion of the webpage. The computer system then automatically merges these incoming attributes into a maintained profile associated with that specific entity. Crucially, the claims require the system to track and store an electronic record of which specific third party contributed which attribute, ensuring that the resulting aggregate data can be used for targeted advertising.
In practice, the invention functions as a clearinghouse for digital identities. When a visitor interacts with a website, the site acts as a user of the system, forwarding known attributes—such as a cookie or a specific interest—to the central databank. The system performs a search to find a matching profile, even utilizing null profiles to ensure the search always yields a result. If the incoming data contains new information, the system incorporates it and credits the provider; if the databank contains information the website lacks, a contract is formed to transmit those attributes to the website for a fee.
This approach differentiates itself from prior methods by moving away from the bulk sale of static records toward a dynamic attribute-level marketplace. Traditional systems often merged whole databases in a one-time event, whereas this invention enables continuous, incremental profile enhancement. By implementing a credibility weighting mechanism, the system can also resolve discrepancies between conflicting data sources, effectively 'convoluting' new information with existing records to refine the accuracy and market value of the profile over time.
In the late 1990s when ’307 was filed, information commerce was typically implemented using the bulk transfer of entire databases or static mailing lists rather than the granular exchange of individual data points. At a time when systems commonly relied on massive clerical efforts to accumulate transactional records over many years, the integration of disparate data sets was often limited to large-scale merges of whole records, such as combining census data with voting lists. Hardware and software constraints of the era made the real-time brokerage and valuation of discrete information attributes non-trivial, as data management architectures were generally optimized for monolithic record retrieval rather than the dynamic pricing and distribution of specific profile components.
The disclosed invention addresses the technical problem of inefficient information commerce caused by the inability to trade and value individual data attributes within a profile. The architectural solution involves a descriptive-profile mercantile system situated at a juncture in a data-communications topology that utilizes a databank of partial profiles and a null-profile search mechanism to ensure continuous matching. This integration enables a technical shift from bulk data sales to a granular brokerage model where specific attributes—such as individual demographic or behavioral data points—can be independently owned, valued, and transferred. The technical effect achieved is the capability to dynamically update and monetize high-resolution profiles through micro-payment royalty structures and automated attribute incorporation, overcoming the constraint of static, low-precision data clusters.
The patent contains a total of 10 claims, with claims 1 and 9 serving as the independent claims. These independent claims focus on an automated system and a data storage medium for collecting and updating user profiles by receiving partial profile attributes from unaffiliated third-party websites via URL redirection, aggregating this data into a maintained profile, and tracking which third party contributed specific attributes for use in targeted advertising. The dependent claims further specify features such as tracking attribute sources for payment calculations, determining the novelty of received data, maintaining credibility ratings and pricing for profile attributes, and utilizing cookies during the redirection process.
Definitions of key terms used in the patent claims.
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