Database Service Requirement Scoring for Search Precision
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Search engines often fail to account for database search capabilities when ranking resources, leading to irrelevant results and increased recall at the expense of precision, as they do not score databases based on their ability to fulfill specific service requirements.
Innovation Solution
A method that receives unstructured queries, determines service requirements, calculates service requirement scores for databases, selects relevant databases, and generates search results that incorporate these scores to prioritize high-quality databases, adjusting search results to reflect database capabilities and user needs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If search engines pre-generate pages for popular database entries to improve search coverage, then recall is increased, but precision is reduced due to artificial inflation of result relevance
Solution Approach 1:
The patent replaces the mechanical approach of pre-generating static web pages for database entries with a systematic scoring mechanism that dynamically evaluates database service requirements. Instead of creating artificial webpage content, the system uses automated scoring algorithms to assess how well databases meet query requirements, substituting manual/page-based approaches with computational evaluation.
Solution Approach 2:
The patent introduces service requirement scores as new parameters to evaluate databases. By changing from a binary relevance assessment to a multi-parameter scoring system that considers database capabilities, data quality, and service requirements, the system achieves more precise ranking without artificially inflating result relevance.
2Device complexity
If search engines ignore database search capabilities to simplify processing, then device complexity is reduced, but manufacturing precision of search results deteriorates
Solution Approach 1:
The patent segments the search processing into distinct components: service requirement determination, database scoring, and result generation. By dividing the complex task of evaluating database capabilities into separate scoring modules, the system maintains high search result accuracy while managing processing complexity through structured, modular evaluation.
3Measurement precision
If websites create optimized pages for specific queries to improve search visibility, then search engine identification is enhanced, but website management complexity increases
Solution Approach 1:
The patent enables databases to self-evaluate their service requirements and capabilities through automated scoring mechanisms. Instead of requiring website managers to manually optimize pages for specific queries, the system allows databases to automatically assess their own suitability for meeting search requirements, reducing website management complexity while maintaining search engine identification accuracy.
Data Source
AI summary
Methods, systems, and apparatus, including computer program products for structured content ranking. In an aspect, a method determines a service requirement from terms of a query, the service requirement being one of a plurality of service requirements fulfilled by databases; determines, for each of the databases, a service requirement score for the database, the service requirement score being a measure of an ability of the database to fulfill the service requirement; selects databases based on the service requirement scores; generates data responsive to the service requirement based on the terms of the query and one or more of the selected databases; and generates, from the data identifying resources that are determined to be responsive to the query and from the data responsive to the service requirement, search results that include first search results that each identify a corresponding resource that was determined to be responsive to the query.