Dynamic Search Condition Generation for Customer Environment Adaptation
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Solution Overview
Problem
Existing information processing systems face a decrease in search result value due to changes in customer environments, as they rely on static search conditions that do not adapt to dynamic customer data, limiting their effectiveness in sales support systems.
Innovation Solution
An information processing system that includes a storage section for customer environment information, a verifying section to detect changes, an extracting section to identify attendant information, and a search condition generating section to create dynamic search conditions based on verified changes, enabling targeted sales activities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If static search conditions are used, then system simplicity is maintained, but search result relevance decreases when customer environment changes
Solution Approach 1:
The patent implements dynamic search conditions that automatically adapt to customer environment changes. The system continuously monitors customer environment data and updates search conditions in real-time, transforming the static search mechanism into a dynamic one that maintains high relevance without requiring manual intervention.
Solution Approach 2:
The system incorporates feedback loops where search results and customer environment data are continuously analyzed. The verification section checks whether search conditions remain effective, and the generation section creates updated conditions based on this feedback, ensuring ongoing relevance while automating the adaptation process.
2Measurement precision
If manual search condition updates are performed, then search result accuracy is maintained, but user workload increases
Solution Approach 1:
The system performs self-service by automatically monitoring customer environment changes and generating updated search conditions without user intervention. The verification and generation sections work autonomously to maintain accurate search conditions, eliminating the need for manual updates while preserving search precision.
Solution Approach 2:
The system performs preliminary actions by continuously monitoring customer environment data and preparing updated search conditions in advance. This proactive approach ensures that accurate search conditions are ready before they are needed, eliminating delays associated with manual condition updates.
3Adaptability or versatility
If comprehensive customer environment data is analyzed, then search relevance improves, but data processing time increases
Solution Approach 1:
The system extracts only the essential and relevant features from comprehensive customer environment data. The verification section identifies key changes in customer environment, and the generation section focuses on creating search conditions based on these critical factors, rather than processing all available data, thus maintaining adaptability while improving processing speed.
4Loss of information
If frequent search condition updates are made, then search result freshness is improved, but system stability decreases
Solution Approach 1:
The system uses feedback mechanisms to determine when updates are truly necessary. The verification section analyzes whether customer environment changes actually impact search relevance before triggering updates. This selective updating approach maintains search freshness while avoiding unnecessary changes that could destabilize the system.
Solution Approach 2:
The system implements dynamic stability by adapting the frequency and magnitude of updates based on actual customer environment changes. Rather than following a rigid update schedule, the system responds dynamically to genuine changes, maintaining freshness while preserving system stability through controlled adaptation.
Data Source
AI summary
An information processing system includes a storage section that stores environment information related to plural customers, a verifying section that verifies a change occurring in the environment information, an extracting section that extracts attendant information which is information attendant on the change, and a search condition generating section that generates a search condition for narrowing down, from the environment information, a target for which a condition matches the attendant information.