Metadata Significance Ranking for Information Overload
Solution Overview
Problem
Current information processing systems face challenges in efficiently presenting and managing large amounts of metadata, particularly in limiting the number of pieces of information displayed to users while maintaining relevance and significance.
Innovation Solution
An information processing apparatus comprising a presenting unit, an information extracting unit, a characteristics extracting unit, and a limiting unit, which extracts and presents metadata associated with selected information, generates graphs of metadata associations, and calculates significance to limit the display to a predetermined number of metadata pieces based on extracted characteristics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If all extracted associated metadata is presented to the user, then the completeness of information is improved, but the information overload increases and user experience deteriorates
Solution Approach 1:
The patent extracts only the most significant metadata pieces from the complete set of associated metadata. The significance calculation unit computes importance scores for each metadata piece, and the limiting unit selects only those exceeding a threshold or within the top N rankings, thereby extracting essential information while discarding redundant content to prevent information overload
Solution Approach 2:
The patent changes the parameter of metadata selection from binary (include/exclude) to graded (significance-based ranking). By calculating significance scores and using these as a parameter for filtering and limiting, the system dynamically adjusts which metadata pieces are presented based on their computed importance rather than presenting all metadata uniformly
2Measurement precision
If the system calculates significance for all metadata pieces, then the relevance of presented information is improved, but the processing time and computational resources increase
Solution Approach 1:
The patent performs preliminary significance calculation for all metadata pieces in advance, before user interaction. The significance calculation unit computes importance scores based on extraction frequency and other characteristics, storing these results for rapid retrieval and presentation without requiring real-time calculation during user operations
Solution Approach 2:
The patent implements dynamic significance calculation that adapts to user behavior. As users interact with metadata (extraction frequency increases), the significance scores are updated dynamically, allowing the system to adjust relevance measurements based on actual usage patterns rather than static initial assessments
3Ease of operation
If the system presents a limited number of metadata pieces, then the ease of operation is improved, but the quantity of useful information may be reduced
Solution Approach 1:
The patent changes the presentation parameter from fixed quantity to significance-based quantity. The limiting unit determines the number of metadata pieces to present based on their significance scores, ensuring that the most important information is always included while maintaining a manageable presentation size that adapts to the importance distribution of the metadata
Data Source
AI summary
An information processing apparatus includes a presenting unit, an information extracting unit, a characteristics extracting unit, and a limiting unit. The presenting unit presents information. The information extracting unit extracts, in a case where the information presented by the presenting unit is selected, information associated with the selected information from a storing unit that stores plural pieces of information and association between the plural pieces of information. The characteristics extracting unit extracts characteristics relating to the plural pieces of information and the association between the plural pieces of information. The limiting unit limits, in a case where the presenting unit presents the information extracted by the information extracting unit and the number of pieces of information to be presented is greater than or equal to or greater than a predetermined number, information to be presented on the basis of the characteristics extracted by the characteristics extracting unit.