Profile Data Standardization for Decentralized Peer-to-Peer Systems
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Solution Overview
Problem
Inconsistent and non-standardized formats for storing profile records and feedback information across different systems make it difficult to share and access this data over a standardized communication platform, especially in mobile and decentralized communication environments.
Innovation Solution
A system and method that converts and consolidates profile records and feedback information into a standardized format, allowing real-time monitoring and ranking of data traffic, and enabling remote access through a graphical user interface, using hardware processor-based systems with indexing and referential storage to manage and analyze data traffic transmissions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If profile records and feedback information are stored in non-standardized formats across different systems, then each system can maintain its own data structure and storage methodology, but it becomes difficult to share and access this data over a standardized communication platform
Solution Approach 1:
The patent transforms profile records and feedback information from non-standardized formats into a standardized format by changing the data structure parameters. The system employs a standardized data model that defines specific fields, data types, and relationships, allowing diverse input formats to be converted into a unified structure that facilitates sharing and access across different systems while maintaining data integrity
Solution Approach 2:
The patent introduces a standardized communication platform as an intermediary between systems with different data formats. This platform acts as a mediator that receives data in various formats, converts it to the standardized structure, and enables sharing and access without requiring changes to the source systems, thus resolving the contradiction between format flexibility and data sharing ease
2Productivity
If data traffic monitoring and ranking is implemented in real-time, then user behavior can be analyzed and profiles ranked according to popularity, but system complexity and processing requirements increase
Solution Approach 1:
The patent implements preliminary action by pre-defining the data structure and ranking criteria before real-time monitoring begins. Profile records are standardized in advance with clearly defined fields and relationships, and ranking algorithms are pre-configured based on data traffic patterns. This preparation reduces the complexity of real-time processing by eliminating the need for dynamic structure creation and complex decision-making during data flow analysis
Solution Approach 2:
The patent segments the data monitoring and ranking process into distinct functional modules: data reception, standardized format conversion, traffic flow analysis, and ranking generation. Each module handles a specific aspect of the process independently, reducing overall system complexity by breaking down the complex real-time analysis task into manageable, specialized components that can be processed in sequence
Data Source
AI summary
This invention is a system and method that supports peer to peer interactions, in which users rate themselves and others, using a review-based system and algorithm-oriented search engine. The algorithm locates and displays users through a set list of parameters via the search engine. After locating the profile, the user can become more informed about their search or publish a report on the search, then utilize their newfound knowledge in their upcoming meeting to their benefit.