Social Network Similarity Determination via Metadata Field Incrementing
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Solution Overview
Problem
Current social networks lack a standardized method to accurately identify and quantify similarities between users and entities, leading to misinformation, intrusive advertising, and privacy concerns due to the open-source architecture of the web, which hampers meaningful connections and credibility assessment.
Innovation Solution
A system and method for determining similarities between online entities on social networks by gathering metadata from user postings, evaluating responses to increment field values, and providing an indication of similarity based on contextual association, using a Metadata Gatherer, Association Scheme, and Value Determiner to establish a quantified level of interest across entities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional search engines use term proximity matching, then specific documents can be identified, but contextual understanding and accuracy deteriorate
Solution Approach 1:
The patent transforms the search approach by changing parameters from simple term proximity to multi-dimensional entity attributes including semantic meaning, contextual relationships, and verified facts. This allows accurate identification while preserving contextual understanding through enriched entity profiles.
Solution Approach 2:
The patent introduces an intermediary layer of entity extraction and verification that mediates between raw search terms and search results. This intermediary process enriches queries with contextual information and validates results against multiple data sources, improving accuracy without losing context.
2Ease of operation
If open-source web architecture is used, then information exchange is free flowing, but credibility assessment and misinformation control worsen
Solution Approach 1:
The patent implements feedback mechanisms where entity information is continuously verified against multiple external sources and cross-referenced for consistency. This feedback loop maintains free information exchange while systematically assessing credibility through validation and contradiction detection.
Solution Approach 2:
The patent creates a universal entity verification system that can assess credibility across diverse information sources and contexts. This multi-functional approach handles different types of entities (people, organizations, concepts) and verification methods while maintaining open information exchange.
3Speed
If simple term searching is used, then search operations are fast, but meaningful connections between entities deteriorate
Solution Approach 1:
The patent performs preliminary actions by pre-extracting and structuring entity information from source materials before search operations. This preparation includes identifying entities, their attributes, and relationships in advance, enabling fast searches that preserve meaningful connections without real-time processing overhead.
Solution Approach 2:
The patent changes search parameters from simple text matching to structured entity attribute comparison. This transformation enables efficient searching through indexed entity properties while maintaining rich relationship information through the structured entity model.
Data Source
AI summary
Provided are a system and method to determine similarities. The method includes gathering metadata from at least one posting by a First User on a first Social Network to define at least one First Field associated with at least one First Entity, each associated First Field having a value. The method evaluates responses to the posting by at least one Third Party, and in response to the Third Party using one or more of the First Fields, increments the value of each used First Field. An indication of the values of each First Field associated with each First Entity is provided, the indicated values permitting a determination of similarity to at least one Second Entity querying for at least two Fields. An associated system for determining similarity is also disclosed.