Interaction Engine Suitability Assessment for Network Entities
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Solution Overview
Problem
In large communication networks, source entities often have imperfect information about the suitability of target entities for interactions, leading to potential unsuccessful transactions or interactions.
Innovation Solution
A method and system using an interaction engine to assess the suitability of target entities by receiving an identifier, obtaining a suitability score based on past behavior or predictions, and generating an acceptability indicator to determine if an interaction should be attempted, with options for reattempting interactions based on predefined schedules and tolerances.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If source entities attempt interactions with target entities in large communication networks, then interaction opportunities increase, but the likelihood of unsuccessful interactions increases due to imperfect information about target entity suitability
Solution Approach 1:
The system performs preliminary suitability assessment of target entities before interactions are attempted. By pre-evaluating target entities using multiple criteria (reputation scores, compatibility metrics, risk assessments), the system prepares suitability information in advance, allowing source entities to make informed decisions about which interactions to attempt, thereby reducing unsuccessful interactions while maintaining high productivity
Solution Approach 2:
The patent introduces an intermediary suitability assessment system that mediates between source entities and target entities in the communication network. This intermediary layer collects, processes, and evaluates information about target entities, providing source entities with suitability indicators without requiring them to have direct access to all underlying data, thus resolving the information asymmetry problem while enabling efficient interaction matching
2Reliability
If suitability assessment systems evaluate multiple criteria for target entities, then interaction quality improves, but system complexity increases
Solution Approach 1:
The suitability assessment system is divided into multiple independent modules, each responsible for evaluating specific criteria (reputation assessment, compatibility analysis, risk evaluation). Each module processes particular aspects of target entity suitability and produces separate scores or indicators. These segmented assessments are then aggregated to form an overall suitability determination, making the complex evaluation process more manageable and maintainable while improving reliability through specialized focused assessments
Solution Approach 2:
The system employs multiple quantifiable parameters and metrics to assess target entity suitability, including reputation scores, compatibility indices, and risk factors. By transforming qualitative suitability concepts into measurable parameters with defined weightings and thresholds, the system maintains scientific rigor and objectivity while managing complexity through standardized measurement approaches that can be adjusted and optimized
Data Source
AI summary
There is provided a method including receiving at an interaction engine an identifier associated with an entity from a set of entities, and obtaining a suitability score for the entity based on the identifier. The method also includes receiving at the interaction engine a selection of an objective associated with the suitability score, and receiving a respective selection of a suitability tolerance associated with the objective. The suitability tolerance can be further associated with a suitability score range. Moreover, the method includes generating at the interaction engine an acceptability indicator by determining whether the suitability score falls within the suitability score range, and outputting the acceptability indicator.