Contextual Link System Using Blockchain for Bias Reduction
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Solution Overview
Problem
Current search algorithms rely on previous searches and SEO metadata, leading to biased presentation of links and difficulty in integrating new content, limiting users' ability to meaningfully share understanding and navigate the web effectively.
Innovation Solution
A system for creating and retrieving contextual links between user interface objects using a blockchain-based distributed database, allowing users to generate and annotate links with descriptions, and display contextual information, while utilizing correlators and sequencers to order and present relevant content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If search algorithms rely on previous searches and SEO metadata to determine link relevance, then search results can be generated efficiently, but the presentation of links becomes biased and new content integration becomes difficult
Solution Approach 1:
The patent segments the link recommendation system into multiple independent components: a blockchain-based distributed database for storing user-generated contextual links, a correlator module for analyzing relationships between UI objects, and a sequencer module for ordering results. This segmentation allows the system to process and integrate new content independently without being constrained by existing SEO metadata structures, thereby improving adaptability while maintaining efficient search result generation.
Solution Approach 2:
The patent introduces user-generated contextual descriptions as an intermediary layer between content and traditional search algorithms. These contextual links, stored in a blockchain-based distributed database, serve as mediators that provide meaningful relationships between UI objects without relying on SEO metadata. This intermediary mechanism enables new content to be integrated and connected meaningfully while maintaining search efficiency.
2Extent of automation
If links are based on webmaster relationships and SEO metadata, then link generation is automated, but users cannot meaningfully share their understanding or navigate the web in a way that builds their understanding
Solution Approach 1:
The patent enables users to self-generate contextual links by selecting UI objects and providing their own contextual descriptions. This self-service mechanism allows users to encode their personal understanding and reasoning into the link structure, preserving user-specific context and understanding that would otherwise be lost in automated SEO-based systems. The system automates the technical aspects of link creation while maintaining user intellectual input.
Solution Approach 2:
The patent implements feedback loops where users can review, edit, and refine their contextual links. The system provides mechanisms for users to observe their own decision-making processes and biases by reviewing their created links, and to receive feedback from other users through the distributed database. This feedback mechanism ensures that user understanding is continuously refined and preserved rather than lost in automated processes.
3Reliability
If the system uses a blockchain-based distributed database to store contextual links, then link relevance and context are improved, but system complexity increases
Solution Approach 1:
The patent employs a blockchain-based distributed database that serves multiple functions simultaneously: it stores contextual links, validates user-generated content, provides a decentralized storage mechanism, and enables peer-to-peer sharing of understanding. This multi-functional approach consolidates what would otherwise require separate systems into a single infrastructure, improving reliability while managing complexity through functional integration rather than multiplication.
Data Source
AI summary
A method for operating a system for creating and retrieving contextual links between user interface objects involves displaying a navigation options menu as an overlay, above a content source, within a user interface, in response to receiving an input control through a UI controller for a UI object, generating an annotation entry for the UI object, generating a contextual link between a first UI object and a second UI object, and displaying an adjacently positioned link counter and a visible indicator around the UI object through operation of a presentation modeler, in response to detecting at least one correlation for the UI object in the correlation table.