Persistent Identification Filter for User Data Monetization
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Solution Overview
Problem
Current systems fail to effectively capture and utilize user data across multiple websites due to issues like lack of market value, data sharing difficulties, and privacy concerns, limiting the ability to provide targeted advertisements and sell user information efficiently.
Innovation Solution
A method and system for determining if a user is enabled for persistent identification, using Application Level Data Structures (ALDS) like HTTP cookies, which are stored on the client device and used to match user characteristics for targeted advertising, facilitating data exchange between sellers and buyers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If user data is collected and shared across multiple websites, then the ability to provide targeted advertisements and sell user information is improved, but privacy concerns and consumer sensitivity increase
Solution Approach 1:
The patent introduces an intermediary system (the data exchange platform with persistent identification mechanisms) that mediates between data sellers and data buyers. This intermediary enables controlled data sharing through standardized protocols while maintaining privacy through encryption and selective disclosure, thus resolving the contradiction between data monetization and privacy protection.
Solution Approach 2:
The patent segments user data into different identifiable characteristics (cookies, device identifiers, browsing behavior) that can be selectively shared and traded. This segmentation allows specific data elements to be monetized while maintaining user privacy by not exposing complete user profiles, thus balancing productivity improvement with harm reduction.
2Adaptability or versatility
If persistent identification systems are implemented across websites, then user data correlation and targeted advertising capability are improved, but device complexity and implementation difficulty increase
Solution Approach 1:
The patent creates a universal persistent identification system that works across multiple websites and platforms through standardized protocols. The system performs multiple functions including user identification, data correlation, advertising targeting, and privacy protection within a single framework, thus improving adaptability while managing complexity through standardization.
Solution Approach 2:
The patent implements preliminary action by pre-establishing persistent identification mechanisms (cookies, device identifiers) and data exchange protocols before actual data sharing occurs. This preliminary setup simplifies subsequent data correlation and targeted advertising operations, reducing the complexity of real-time implementation.
3Quantity of substance
If data sharing between publishers and advertisers is enabled, then market value and revenue opportunities are improved, but difficulty in buying and selling data increases
Solution Approach 1:
The patent introduces a data exchange platform as an intermediary that facilitates buying and selling of user data between publishers and advertisers. This intermediary provides standardized data formats, pricing mechanisms, and transaction protocols that increase data market value while simultaneously making data transactions easier and more efficient.
Solution Approach 2:
The patent changes key parameters of data transactions by introducing standardized data formats, pricing models, and exchange protocols. These parameter changes transform the data market from an opaque, difficult-to-navigate space into a streamlined system with improved liquidity and valuation, thus increasing both market value and transaction ease.
Data Source
AI summary
A method, system, apparatus, and storage medium for determining that a client device is enabled for persistent identification, and that may operate as a filter for user information based on whether the client is enabled for persistent identification. A first communication is received regarding a request by the client for a web page. At least one application level data structure is then provided for storage by the client, that persistently identifies at least one characteristic of the client. A second communication is then received that includes a representation of the application level data structures provided, and a comparison is made between the data structures provided and the representation received to determine whether the client is enabled for persistent identification. If persistent identification is enabled, the client may then be provided with advertisements or other content related to the client interests or characteristics.