Lifespan Filter Algorithm for Genealogical Record Query Accuracy
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Solution Overview
Problem
Existing genealogical content systems suffer from inaccurate query results due to error-prone algorithms that include irrelevant records, leading to corrupted databases and overwhelming users with non-pertinent information, reducing engagement and accuracy in genealogical research.
Innovation Solution
A sophisticated lifespan filter algorithm that analyzes relative-data fields to determine record lifespans, comparing them with query lifespans to filter out non-relevant records, ensuring only relevant genealogical records are included in search results, thereby improving accuracy and user engagement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If existing error-prone algorithms are used to identify genealogical records, then the quantity of search results is large, but the accuracy of query results deteriorates
Solution Approach 1:
The system performs preliminary lifespan calculation for all candidate records before the actual query matching process. By pre-computing lifespan ranges (birth year to death year) and storing them alongside genealogical records, the system eliminates the need for complex runtime lifespan comparisons, thereby improving both query speed and accuracy while maintaining manageable result quantities.
Solution Approach 2:
The query result filtering process is segmented into multiple stages: first filtering by lifespan overlap, then by genealogical relationships, and finally by relevance scoring. This segmentation allows the system to efficiently eliminate irrelevant records early in the process while preserving accurate matches, resolving the contradiction between result quantity and accuracy.
2Quantity of substance
If existing algorithms include all matching records, then completeness of results is maintained, but database corruption increases
Solution Approach 1:
The system performs preliminary validation of genealogical relationships and lifespan consistency before incorporating records into the database. By pre-checking whether candidate records actually match the query criteria through lifespan overlap verification and relationship validation, the system ensures that only accurate records are added, preventing database corruption while maintaining completeness of valid results.
3Loss of information
If all candidate records are returned to users, then comprehensive information is provided, but user engagement decreases
Solution Approach 1:
The system applies partial filtering by lifespan criteria to reduce the volume of results presented to users, while still maintaining completeness of relevant information. By filtering out records with no lifespan overlap before presentation, the system provides a manageable subset of truly relevant records, improving user engagement without losing important genealogical information.
Solution Approach 2:
The system applies different filtering strictness levels to different aspects of query results: strict lifespan filtering for basic relevance, moderate relationship validation for genealogical accuracy, and flexible scoring for ranking. This local differentiation of quality standards allows comprehensive information retention while presenting user-friendly results.
4Productivity
If simple filtering algorithms are used, then processing speed is fast, but query result accuracy deteriorates
Solution Approach 1:
The system performs preliminary computation and storage of lifespan ranges for all genealogical records before query processing. This pre-computation transforms complex lifespan comparison operations into simple range overlap checks, achieving both fast processing speed and high query result accuracy simultaneously.
Data Source
AI summary
The present disclosure is directed toward systems, methods, and non-transitory computer-readable media for utilizing a sophisticated lifespan filter algorithm for searching genealogical databases to accurately identify genealogical records that match a record query. For example, utilizing the lifespan filter algorithm, the disclosed systems can access and analyze data pertaining to relatives of candidate records (e.g., genealogical records that could match a record query). In some cases, for a given candidate record, the disclosed systems access genealogical data fields for a spouse, one or both parents, and/or one or more children of the individual represented by the candidate record. From the relative-data fields, the disclosed systems can determine a record lifespan for the candidate record and can compare the record lifespan with a query lifespan of the record query to determine whether the candidate record matches the record query.