Search Engine Validation System for Missed Content Detection
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Solution Overview
Problem
Current web-site search engines lack an automated method for validating their effectiveness in covering all site content, leading to missed information and user dissatisfaction, with issues only being addressed after client feedback and manual investigation.
Innovation Solution
A system and method that scans all data objects via a web interface, generates a report set detailing missed content, and uses a matching engine to compare indexed and missed content, providing insights for search engine tuning and improvement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual search engine testing is performed via browser, then search engine can be tested, but testing effectiveness is limited and problems are only discovered after the fact
Solution Approach 1:
The patent applies preliminary action by implementing automated search engine testing that proactively validates search coverage before users experience problems. The system automatically executes search queries and validates results, discovering coverage issues before they impact user experience, thereby preventing the 'after the fact' problem discovery mentioned in the contradiction.
Solution Approach 2:
The patent applies self-service by enabling the search engine system to automatically validate its own coverage without requiring manual browser-based testing. The automated testing framework performs self-diagnosis of search engine effectiveness, eliminating the need for external manual testing and accelerating problem discovery.
2Reliability
If automated search engine validation is implemented, then search coverage can be proactively validated, but system complexity increases
Solution Approach 1:
The patent applies universality by designing a validation system that performs multiple functions: it executes search queries, validates result coverage, generates reports, and provides recommendations. This multi-functional approach consolidates what would otherwise require separate systems, managing complexity while comprehensive validation capability.
Solution Approach 2:
The patent applies the intermediary principle by introducing a validation framework that acts as a mediator between the search engine and manual testing processes. This intermediary layer automated the validation process, bridging the gap between search engine operations and coverage verification without requiring direct complex integration.
3Ease of repair
If manual investigation of search engine problems is performed, then problems can be resolved, but user dissatisfaction persists during the investigation period
Solution Approach 1:
The patent applies preliminary action by automatically detecting and flagging search coverage problems before they require manual investigation. The system proactively identifies missing content and validation issues, preparing problem reports in advance so that when manual intervention is needed, the investigation can begin immediately with detailed information already gathered.
Solution Approach 2:
The patent applies feedback by implementing continuous automated monitoring that provides real-time information about search engine coverage status. This feedback mechanism keeps search engine teams informed of problems as they occur, enabling faster response and resolution while reducing the time users experience dissatisfaction.
Data Source
AI summary
A method of validating results of a host search engine (50), the method including the steps of scanning all data objects deliverable via a web interface with a scanning engine (25) and executing a matching engine (35) to generate a report set containing content missed by the host search engine (50).