Event Cluster Meta Information for Content Recall
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Solution Overview
Problem
Existing information processing systems fail to allow users to recall events in detail as they can only view single types of content, requiring manual collection and labor-intensive efforts to gather dispersed content related to the same event.
Innovation Solution
An information processing system that creates an event cluster by gathering various types of content, including photo and social content, and generates meta information based on the cluster, allowing users to collectively view related content and recall events efficiently.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If only location information and subject information are appended to photo content, then the system structure remains simple, but users cannot recall events in detail
Solution Approach 1:
The patent merges multiple types of content (photo content, video content, text content, audio content) into a unified event cluster structure. This consolidation allows users to access comprehensive event information through a single interface, resolving the contradiction between information completeness and system simplicity.
Solution Approach 2:
The event cluster serves as a universal container that can hold various types of content related to the same event. The meta information structure provides multi-functional capabilities for organizing, searching, and displaying diverse content types, enabling detailed event recall without requiring separate systems for each content type.
2Loss of information
If users manually collect and organize content related to the same event, then comprehensive event information can be obtained, but the process is labor-intensive and time-consuming
Solution Approach 1:
The system performs preliminary actions by automatically organizing content into event clusters before users need to access the information. The meta information is pre-generated and structured, so when users query for event details, the content is already organized and ready for display, eliminating the need for manual collection and significantly reducing time loss.
Solution Approach 2:
The system provides self-service functionality where the event cluster structure automatically organizes and presents relevant content based on user queries. The meta information enables the system to self-organize and self-display content without requiring user intervention in the collection and organization process, making the system both comprehensive and efficient.
3Adaptability or versatility
If dispersed content related to the same event is presented separately, then each content type can be viewed individually, but users must manually collect and organize them
Solution Approach 1:
The patent segments content into distinct types (photo, video, text, audio) while organizing them within a unified event cluster structure. This segmentation allows users to view individual content types individually through the meta information interface, maintaining content flexibility while simplifying organization through the hierarchical cluster structure.
Solution Approach 2:
The invention adds a new organizational dimension by introducing event clusters as a hierarchical structure that groups content types together. Instead of presenting content in a flat, dispersed manner, the system organizes content vertically through the event cluster-meta information-content hierarchy, making the system both versatile for different content types and easy to operate through structured navigation.
Data Source
AI summary
There is provided an information processing device including an event cluster creation unit configured to create an event cluster including, among a plurality of types of content, reference content serving as a reference and related content, the related content having a different type from the reference content and indicating the same event as the reference content, and a meta information appending unit configured to create meta information about the event on the basis of the event cluster and append the meta information to the event cluster.


