Information Map Management via Query Log Analysis
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Solution Overview
Problem
Current information search systems fail to accurately satisfy user search intentions due to database structures based on information types and classification by editors, rather than user queries, leading to inefficient information retrieval.
Innovation Solution
An information map management system that generates and manages units such as objects, properties, and groups within an information map database, using query log information to determine search results and generate count data, thereby aligning search results with user intentions and adapting to changing query patterns.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If information is organized by database types or editor classification, then information can be systematically categorized and stored, but search results do not match user search intentions
Solution Approach 1:
The patent applies dynamics by making the information map structure adaptable and changeable based on user query patterns. The system dynamically generates and updates information maps using log information from actual user queries, allowing the structure to evolve and adjust to user needs rather than remaining static based on editor classifications.
Solution Approach 2:
The patent implements feedback mechanisms by utilizing log information from user queries to continuously improve and update the information map. The system analyzes actual search behavior and uses this feedback to refine the information map structure, making search results more aligned with user intentions over time.
2Adaptability or versatility
If a traditional database structure is used, then information can be stored efficiently by type, but the system cannot adapt to changing user query patterns
Solution Approach 1:
The patent applies preliminary action by pre-processing and storing log information in advance. The system maintains a database of query logs and pre-generates information maps based on accumulated data, so when a user searches, the system can quickly retrieve and apply relevant information without performing extensive real-time analysis.
Solution Approach 2:
The system performs self-service by automatically generating and updating information maps using its own accumulated log information. The patent enables the system to autonomously analyze its query logs and refine its information structure without requiring external intervention or manual curation.
3Reliability
If editor-based classification is used, then information can be organized according to expert knowledge, but it fails to reflect actual user search goals
Solution Approach 1:
The patent enables the information map management system to serve itself by automatically generating and updating the information map using log information from actual user queries. This self-service mechanism eliminates the need for manual editor classification while maintaining high reliability in search results.
Solution Approach 2:
The system uses feedback from user query logs to continuously refine the information map structure. By analyzing actual search behavior patterns, the system automatically adjusts the information map to better reflect user search goals, improving result relevance without manual intervention.
Data Source
AI summary
An information map management system and method. The information map management system, including: an information map database maintaining at least one of an object, property, class, and group which are a unit of an information map; a search result determination unit determining a search result corresponding to a query by referring to the information map database, the query being inputted by a user; a count information generation unit generating count information about the unit using log information about the query; and a management unit managing the information map database using at least one of the log information about the query and the count information.