Search API Integration Quality Evaluation
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Solution Overview
Problem
The existing systems for accessing and integrating search functionality across different systems of record lack standardization and reliability, leading to inconsistent search results, which hinders the utility of federated search tools.
Innovation Solution
A method and system are introduced to evaluate the quality of search API integrations using a standardized technique, employing a test corpus and judgment list to translate search queries and results, ensuring consistent testing and measurement of search API integrations across various systems of record.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If search API integrations are implemented across different systems of record, then access to diverse data sources is enabled, but search result consistency and reliability deteriorate due to lack of standardization
Solution Approach 1:
The patent introduces standardized parameters including a judgment list with relevancy scores and accuracy thresholds that transform unreliable, inconsistent search results into measurable, controllable metrics. By changing the evaluation parameters from qualitative to quantitative, the system enables reliable assessment of search integration quality across different systems of record.
Solution Approach 2:
The patent implements a feedback mechanism where search results are evaluated against ground truth data from judgment lists, and accuracy scores are calculated and returned to the integration developer. This closed-loop feedback enables continuous improvement of search API integrations by providing measurable guidance on performance against standardized criteria.
2Reliability
If standardized accuracy testing is implemented for search API integrations, then search result reliability is improved, but system complexity increases due to additional testing infrastructure
Solution Approach 1:
The patent creates a universal testing framework that can evaluate multiple different search API integrations against the same standardized criteria. The judgment list and accuracy scoring mechanism serve as multi-functional tools that work across various systems of record, eliminating the need for separate testing procedures for each integration type.
Solution Approach 2:
The patent uses ground truth copies of expected search results from judgment lists as reference standards. By copying and storing the correct answers in advance, the system simplifies the testing process to merely comparing actual results against these pre-prepared references, reducing the complexity of verification.
3Adaptability or versatility
If manual evaluation of search integrations is performed, then flexibility in assessment is maintained, but productivity and evaluation speed decrease
Solution Approach 1:
The patent enables the evaluation system to assess search API integrations automatically without requiring manual intervention. The automated accuracy scoring mechanism compares search results against ground truth data and calculates scores independently, providing rapid evaluation while maintaining standardized flexibility through the judgment list framework.
Solution Approach 2:
The patent replaces manual evaluation processes with automated computational mechanisms. Instead of human assessors manually reviewing search results, the system uses algorithmic comparison between actual search results and ground truth references, substituting mechanical automation for manual processing to dramatically increase evaluation speed.
Data Source
AI summary
In one disclosed embodiment, a computing system may receive a request to test accuracy of a search integration component for a system of record. The computing system may determine that a test corpus of files has been stored by the system of record. In response to the request, the computing system may send, to an API endpoint, an API call corresponding to a search query identified in a judgment list, the judgment list including data indicating a relevancy of files of the test corpus to the search query. The computing system may receive, from the search integration component, an API response to the API call, the API response identifying files stored by the system of record. The computing system may determine an accuracy score for the search integration component based on the judgement list and the files identified in the API response.