Search Result Reliability Scoring Using Meta-Information Filtering
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Solution Overview
Problem
The challenge of low search precision and relevance in inspection results for non-experts due to insufficient reliability assessment in search queries, particularly in the field of infrastructure inspections.
Innovation Solution
An information processing apparatus and method that calculates a reliability degree for search results by filtering meta-information and using similarity metrics such as cosine similarity and Jaccard coefficient to enhance the relevance of search results.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If a search query is executed on a database to acquire search results, then the quantity of search results is increased, but the precision and relevance of the search results deteriorate
Solution Approach 1:
The patent introduces an intermediary component (search result generation unit) that creates virtual search results by combining multiple pieces of information. This intermediary process allows the system to expand the quantity of search results while maintaining precision by synthesizing relevant information from multiple sources rather than simply retrieving all database entries.
Solution Approach 2:
The patent changes the parameters of search result generation by incorporating reliability degrees and combining multiple information pieces. Instead of using a single search criterion, the system adjusts parameters such as reliability thresholds and information combination methods to maintain precision while increasing the quantity of relevant search results.
2Measurement precision
If meta-information filtering is applied to search queries, then the precision of search results is improved, but the complexity of the search process increases
Solution Approach 1:
The patent applies preliminary action by pre-calculating and storing reliability degrees for different pieces of information in the database. This allows the search system to quickly filter and rank results using pre-computed reliability metrics without performing complex real-time analysis, thus improving precision while minimizing additional process complexity.
Solution Approach 2:
The system creates simplified copies of complex reliability assessment processes by pre-computing reliability degrees and storing them as metadata. This copying approach allows the search process to use simple threshold comparisons rather than re-executing complex reliability analyses, maintaining precision while reducing computational complexity.
3Ease of operation
If reliability degree calculation is implemented for search results, then the usability for non-experts is improved, but the processing time and computational resources increase
Solution Approach 1:
The patent implements preliminary action by pre-calculating reliability degrees for all pieces of information and storing them in the database before search operations. This allows the search system to retrieve pre-computed reliability metrics instantly, improving usability for non-experts who can easily interpret reliability scores without adding significant processing time during actual search operations.
Solution Approach 2:
The system enables self-service by automatically calculating and displaying reliability degrees without requiring user intervention or expert analysis. Non-expert users can directly interpret the automatically generated reliability scores to assess search result quality, improving ease of operation while the system handles the computational workload in the background.
Data Source
AI summary
Provided are an information processing apparatus, an information processing method, and a program that enable effective use of a search result by obtaining a reliability degree for the search result. In an information processing apparatus (10) including a processor, the processor is configured to: acquire a search query; acquire a first search result of search performed based on the search query on a database; acquire meta-information of the search query; acquire a second search result of search performed based on the search query on the database which is filtered by the meta-information; and obtain a reliability degree of the first search result based on the second search result.