List Filtering System Using Attribute Weights and Matching Multipliers

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Solution Overview

Problem

Conventional list filtering systems do not account for specific attributes of known entities, resulting in generic filtering results that fail to meet the unique needs of different companies and organizations across various industries and geographical locations, leading to inefficiencies in identifying relevant information and potential fraudulent or prohibited transactions.

Innovation Solution

A method and system for list filtering that uses attribute weights and multiple matching techniques with configurable multipliers to compare received records against entity records, calculating a matching score and determining suspect entities based on customizable thresholds, allowing for tailored filtering results specific to individual companies or organizations.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If conventional list filtering systems are used, then the filtering process is simple and fast, but the filtering results are generic and do not meet the unique needs of different companies and organizations

Engineering Contradiction:

Improvecustomizability of filtering resultsVSAvoidcomplexity of filtering system

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent implements dynamic filtering by allowing users to configure weights for different matching techniques and attributes based on their specific organizational needs. The system adapts to different companies by enabling customization of matching criteria, weights, and thresholds, transforming a static filtering system into a dynamic one that can be tailored to various industries and risk profiles.

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The patent applies local quality by allowing different weights to be assigned to different attributes (e.g., name, address, SSN) and different matching techniques based on their relevance to specific organizational needs. Each attribute and technique can be locally optimized with custom weights, enabling the system to prioritize certain matching criteria over others depending on the organization's requirements.

Inventive Principle:

Principle #3Local quality

2Measurement precision

If multiple matching techniques with configurable weights are applied, then the accuracy of entity matching is improved, but the computational complexity increases

Engineering Contradiction:

Improveaccuracy of entity matchingVSAvoidcomplexity of matching process

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The patent changes parameters by introducing configurable weights for different attributes and matching techniques. Instead of using a fixed matching algorithm, the system allows parameters (weights, thresholds) to be adjusted based on organizational needs. This enables the system to achieve high accuracy by emphasizing the most relevant matching criteria while keeping the computational process manageable through parameter optimization.

Inventive Principle:

Principle #35Parameter changes

Solution Approach 2:

The patent applies partial action by allowing organizations to select and weight only the most relevant matching techniques and attributes for their specific needs. Rather than requiring all possible matching techniques to be applied equally, the system enables selective application of techniques with customized weights, achieving sufficient accuracy without unnecessary computational overhead.

Inventive Principle:

Principle #16Partial or excessive action

3Measurement precision

If the filtering system is customized for each organization, then the relevance of filtering results is improved, but the setup and configuration time increases

Engineering Contradiction:

Improverelevance of filtering resultsVSAvoidconfiguration time

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The patent applies preliminary action by providing pre-configured weight settings and matching technique selections that can be used as starting points for customization. Organizations can begin with default configurations and then adjust weights and parameters as needed, rather than building the entire filtering system from scratch. This reduces initial setup time while still enabling customized filtering results.

Inventive Principle:

Principle #10Preliminary action

Data Source

PatentUS9058380B2Methods and systems for list filtering based on known entity matching

Publication Date: 2015.06.16 FIS FINANCIAL COMPLIANCE SOLUTIONS LLC

AI summary

Methods and systems are disclosed for implementing data matching techniques. In some embodiments, methods and systems may be implemented for filtering a received record associated with at least one record attribute against an entity record. The methods and systems comprise, for example, applying a record attribute weight to the at least one record attribute associated with the received record, performing at least one matching technique that compares the at least one record attribute of the received record against the entity record, wherein the at least one matching technique is associated with a corresponding matching technique multiplier, calculating a matching score based on a result of the at least one matching technique and the multiplier associated with the at least one matching technique, and comparing the matching score to a threshold to determine whether the received record represents a suspect entity.