Blockchain NFT Descriptor Clustering for Personalized Access
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing blockchain systems lack efficient automation for generating and maintaining descriptors of content and users, particularly in non-fungible token (NFT) platforms, which hinders personalized token-directed actions and access control.
Innovation Solution
Implementing systems and techniques for generating and maintaining descriptors of content and users through clustering algorithms, using metadata, profiles, and consensus mechanisms to govern future token access, with features like smart contracts and trust levels, enabling actions such as content recommendations and product placements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If manual processes are used for generating and maintaining descriptors of content and users, then system complexity is reduced, but automation capability and efficiency deteriorate
Solution Approach 1:
The system enables self-service automation through smart contracts that automatically execute token access control and descriptor management based on predefined rules. The clustering algorithms autonomously generate and maintain user and content descriptors without requiring manual intervention, allowing the system to serve itself in managing blockchain processes.
Solution Approach 2:
The patent introduces intermediate components such as the descriptor generation module and clustering algorithm layer that mediate between raw blockchain data and automated decision-making processes. These intermediaries structure and organize data into meaningful descriptors, enabling automation while managing complexity through layered architecture.
2Ease of operation
If personalized token-directed actions are implemented, then user experience and access control improve, but processing time and computational resources increase
Solution Approach 1:
The system performs preliminary actions by pre-generating user and content descriptors and organizing them into clusters before actual token access decisions are needed. This advance preparation of structured data enables rapid personalized access control decisions without time-consuming processing during actual operations.
Solution Approach 2:
The patent implements dynamic descriptor generation and clustering that adapts to user behavior and content characteristics. The system dynamically adjusts cluster configurations and descriptor details based on real-time needs, optimizing the balance between personalized access control precision and processing efficiency.
Data Source
AI summary
Systems and techniques for enabling the automation of blockchain processes within an NFT platform, through structures and techniques for generating and maintaining descriptors of content and users, are illustrated. One embodiment includes a method for selecting personalized token-directed actions. The method determines a tag including metadata associated with a token. The method determines a profile associated with a user, wherein the user is at least one of an owner of the token and a content creator associated with the token. The method performs a clustering based at least one of the tag and the profile, wherein the clustering includes a collection of tokens sorted according to at least one of shared categories of tokens and shared categories of token users. The method identifies an action corresponding to the token, based on the clustering, wherein the action governs future token access by the user. The method initiates the action.