Keyword Suggestion System for Information Processing
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Solution Overview
Problem
Existing information processing systems require users to pre-assign keywords for operations, which can be time-consuming and inefficient, especially for users without prior knowledge of the operations or keywords.
Innovation Solution
An information processing apparatus and system that acquires input characters and user information, generating and prioritizing suggest keywords from pre-registered document information, allowing users to search without pre-assigning keywords, by using a keyword selection unit to extract and present relevant keywords associated with the user's operation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If users pre-assign keywords for operations, then search accuracy is improved, but time consumption and operational complexity increase
Solution Approach 1:
The system performs preliminary action by pre-registering document information and automatically generating keyword associations with operations in advance. When a user performs an operation, the system has already prepared relevant keywords and document associations, eliminating the need for users to manually assign keywords during the operation. This resolves the contradiction by maintaining search accuracy through pre-established keyword-document relationships while eliminating the time-consuming manual keyword assignment process.
Solution Approach 2:
The system implements self-service by automatically extracting keywords from document information and associating them with operations without requiring user intervention. The keyword selection unit autonomously analyzes document content, identifies relevant keywords, and establishes associations with operations based on user information and operation contexts. This automation maintains accurate keyword-document matching while eliminating manual keyword assignment, thereby resolving the time consumption issue.
2Measurement precision
If users pre-assign keywords for operations, then search accuracy is improved, but ease of operation deteriorates
Solution Approach 1:
The system performs self-service by automatically analyzing document information, extracting relevant keywords, and associating them with operations without requiring user action. The keyword selection unit autonomously processes document content, identifies meaningful keywords, and establishes associations based on operation types and user profiles. This eliminates the need for users to manually assign keywords, significantly improving ease of operation while maintaining search accuracy through the system's automated keyword selection capabilities.
Solution Approach 2:
The system introduces an intermediary keyword selection unit that acts as a mediator between document information and user operations. This intermediary automatically analyzes document content, selects appropriate keywords, and establishes associations with operations based on user information and operation contexts. By inserting this intelligent intermediary layer, the system maintains accurate keyword-document relationships without requiring direct user involvement in keyword assignment, thereby improving ease of operation while preserving search accuracy.
3Measurement precision
If the system provides comprehensive suggest information, then search relevance is improved, but information processing complexity increases
Solution Approach 1:
The system applies local quality by providing customized suggest information tailored to each user's specific operation and profile. Rather than presenting all possible keywords uniformly, the system analyzes user information and operation contexts to selectively present only the most relevant keywords for that specific user and operation. This personalized approach maintains high search relevance by ensuring the suggested keywords are precisely what each user needs, while reducing overall system complexity by avoiding the presentation of unnecessary information.
Solution Approach 2:
The system performs preliminary action by pre-processing document information and pre-establishing keyword associations with operations during system initialization and document registration. This advance preparation creates a ready-to-use knowledge base of keyword-document relationships that can be quickly retrieved during operations. By performing this complex processing work in advance rather than in real-time during user operations, the system maintains high search relevance through comprehensive keyword coverage while reducing the complexity of real-time information processing during actual use.
Data Source
AI summary
There is provided an information processing apparatus including an acquiring unit and a presenting unit. The acquiring unit acquires at least one character being input and user information. The presenting unit searches among pieces of suggest information for a keyword including the at least one character acquired by the acquiring unit, and the pieces of suggest information are generated or updated by using pieces of document information registered in advance for each operation. The presenting unit prioritizes a piece of suggest information including a keyword that relates to an operation associated in advance with the user information. The presenting unit presents the piece of suggest information thus prioritized.