Metadata-Driven File Outlines for User-Relevant Search Results
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Solution Overview
Problem
Existing search systems provide uniform summaries that may not include information relevant to individual users, requiring users to open and check file data for additional details.
Innovation Solution
An information processing system that generates personalized outlines of file data using user-specific metadata and search queries, incorporating person data and organizational relationships to tailor summaries for individual users.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If uniform summaries are provided to all users, then the system complexity is reduced and processing is simplified, but the information relevance for individual users deteriorates
Solution Approach 1:
The patent applies local quality by generating summaries with different characteristics tailored to each user's needs. Instead of a uniform summary for all users, the system creates personalized summaries that highlight different aspects of the search results based on individual user profiles, search history, and preferences, thereby improving information relevance without significantly increasing overall system complexity
Solution Approach 2:
The system dynamically adjusts summary generation based on real-time user behavior and preferences. The summary content, structure, and emphasis are dynamically modified according to the specific user's search query, historical data, and interaction patterns, allowing the system to adapt to changing user needs while maintaining manageable processing complexity
2Loss of information
If personalized summaries are generated for each user, then information relevance for individual users is improved, but the processing time and computational resources increase
Solution Approach 1:
The system performs preliminary actions by pre-processing and storing user profile information, search history, and preference data in advance. This pre-computed information is then quickly retrieved and used during summary generation, reducing the computational burden in real-time and minimizing processing time delays while maintaining high information relevance
Solution Approach 2:
The patent employs copying by reusing and adapting existing summary templates and structures rather than creating entirely new summaries from scratch. The system copies proven effective summary patterns and modifies them based on individual user preferences, significantly reducing computational resources and processing time while maintaining personalized relevance
3Device complexity
If users must open file data to obtain sufficient information, then the summary generation is simplified, but the user time to obtain required information increases
Solution Approach 1:
The system extracts and highlights the most relevant information directly within the summary based on individual user needs and search queries. Instead of requiring users to open files, the patent extracts key information points and presents them in the summary itself, saving users time while maintaining simple summary generation logic
Solution Approach 2:
The personalized summary acts as an intermediary between the raw file data and the user's information needs. It mediates by selectively presenting the most relevant information extracted from the data, eliminating the need for users to open files while ensuring they receive sufficient and targeted information
Data Source
AI summary
An information processing system includes: a processor configured to: accept a search query; acquire file data, which is a search result, by searching a database by using the search query; generate an outline of the file data by using the search query or metadata manually added in advance to the file data; and display the outline of the file data on a display unit.