Reputation Attribution Platform for Data Source Trust
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Solution Overview
Problem
Current systems lack the ability to effectively attribute trustworthiness to data sources, leading to unreliable decision-making due to the absence of reputation indicators, resulting in suboptimal outcomes and reduced engagement in activities.
Innovation Solution
A reputation attribution platform that determines reputation scores for entities connected on a network across various dimensions, using graph searches and score propagation methods to combine individual scores and resolve conflicts, thereby providing a measure of influence based on the universe of source entities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If traditional non-electronic data sources and electronic data sources are used to locate information, then information can be obtained, but the information lacks indicia of trustworthiness and personal reputation
Solution Approach 1:
The patent introduces a reputation score as an intermediary indicator that mediates between the data source and the information consumer. This reputation score, calculated through graph search algorithms analyzing network connections and user behaviors, serves as a trusted mediator that verifies and attests to the reliability of information sources, thereby resolving the trustworthiness gap in traditional information sources
Solution Approach 2:
The patent transforms the abstract concept of trustworthiness into a quantifiable parameter - the reputation score. By changing the parameter representation from qualitative judgment to quantitative measurement based on network analysis, the system enables objective comparison and assessment of information source reliability across the network
2Reliability
If a person makes value judgments on data source reputation based on previous experiences, then some trustworthiness assessment is possible, but this approach is time-consuming and unreliable without extensive networks
Solution Approach 1:
The system performs preliminary actions by pre-calculating and maintaining reputation scores for all entities in the network through automated graph search algorithms. When information is requested, the reputation assessment is already available, eliminating the need for real-time evaluation and providing immediate, reliable trustworthiness indicators without requiring the user to invest time in building extensive reference networks
Solution Approach 2:
The patent replaces the manual, mechanical process of personal reputation assessment based on individual experiences with an automated computational system. The graph search algorithm mechanically processes network data to objectively calculate reputation scores, substituting human judgment with a scalable, consistent, and time-efficient computational mechanism
3Productivity
If limited information is used for decision making, then decisions can be made quickly, but the predictions of outcomes are less than perfect and satisfaction is reduced
Solution Approach 1:
The reputation score acts as a concise intermediary indicator that encapsulates extensive network analysis results. Decision-makers can quickly access this single metric to assess information source reliability, maintaining fast decision-making speed while incorporating the reliability insights that would otherwise require extensive information gathering and analysis
Data Source
AI summary
Systems and methods allowing for the attribution of reputation to data sources (e.g., for the creation of referrals) are provided. In an illustrative implementation scores (e.g., reputation scores) are determined for a target entity connected a source entity on a network on a given dimension. In the illustrative implementation, an entity may be directly linked to any number of other entities on any number of dimensions, with each link having an associated score. Illustratively, each dimension has an associated transitive dimension. A directed path on a given dimension between two entities, a source and a target, consists of a directed link from the source entity to an intermediate entity, prefixed to a directed path from the intermediate entity to the target entity. In the illustrative implementation, links on the path can travel on the transitive dimension associated with the given dimension.