Information Processing Device Dissimilar String Selection
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Solution Overview
Problem
Existing information processing technologies fail to effectively distinguish and avoid applying character strings with similar meanings to electronic information, leading to inefficiencies in representing content.
Innovation Solution
An information processing device with a computation unit to compute similarity between character strings and an association unit that selects and associates dissimilar character strings as representative strings, using machine learning models like encoder-decoder neural networks and bidirectional long short-term memory (Bi-LSTM) to rank and evaluate character strings for dissimilarity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If multiple character strings are generated from electronic information, then content representation completeness is improved, but redundancy of similar meaning character strings increases
Solution Approach 1:
The patent extracts only the necessary representative character string from multiple generated candidates by computing similarity metrics and selecting the most dissimilar string. This removes redundant character strings with similar meanings while preserving the essential content representation, directly addressing the contradiction between completeness and redundancy.
Solution Approach 2:
The patent changes the parameter of character string selection from random or simple ranking to similarity-based selection. By computing similarity parameters between character strings and using these parameters to guide selection, the system optimizes the balance between representing complete content and avoiding redundancy.
2Measurement precision
If similarity computation is performed between character strings, then selection accuracy of representative strings is improved, but processing time increases
Solution Approach 1:
The patent performs similarity computation only between necessary character string pairs rather than all possible combinations. By computing similarity incrementally and stopping when a representative string is found, the system achieves sufficient selection accuracy without the excessive processing time of complete pairwise comparison.
3Manufacturing precision
If representative character strings are selected based on dissimilarity, then content representation quality is improved, but device complexity increases
Solution Approach 1:
The patent introduces a computation unit as an intermediary that handles the complex similarity computation task. This mediator component simplifies the overall system architecture by centralizing the dissimilarity-based selection logic, making the complex process manageable and maintainable while achieving high content representation quality.
Data Source
AI summary
An information processing device includes a computation unit that computes a similarity between character strings among plural character strings which express a content of electronic information and which are generated from the electronic information, and an association unit that associates a dissimilar character string that is not similar to another character string among the plural character strings with the electronic information as a representative character string that expresses the electronic information.