Cloud Server File Name Generation for Cross-Device Content Organization
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Solution Overview
Problem
Current systems lack an efficient method for managing and organizing content from diverse devices to a cloud server, failing to provide intuitive and user-specific file naming and storage solutions, which hinders effective content retrieval and sharing.
Innovation Solution
A method and system that involves a cloud server generating file names based on analysis information from various devices, using user-specific rules, and storing content across multiple storage spaces, allowing for automatic grouping, sharing, and retrieval of content based on user preferences and device data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If content is stored from multiple diverse devices without systematic organization, then storage capacity is utilized, but content retrieval and management become inefficient
Solution Approach 1:
The patent segments content management by dividing content into different types (photos, videos, audio, text) and organizing them into separate folders. Each content type is further segmented by device source, creating a hierarchical structure that simplifies retrieval while managing complexity through systematic categorization.
Solution Approach 2:
The server acts as an intermediary that automatically generates file names and organizes content based on analysis information from multiple devices. This intermediary function eliminates the need for manual organization by users, improving retrieval efficiency while the server manages the complexity of cross-device content integration.
2Ease of operation
If generic file naming is used for content from multiple devices, then storage is simplified, but user identification and content differentiation become difficult
Solution Approach 1:
The patent applies local quality by customizing file naming conventions according to each user's preferences and each device's characteristics. The server analyzes content metadata and generates differentiated file names that incorporate device-specific information, content type, and user-defined patterns, ensuring each content file has unique identifying characteristics while maintaining ease of generation.
Solution Approach 2:
The server performs preliminary action by automatically generating descriptive file names before content is fully processed or downloaded by users. This preliminary naming incorporates analysis information from the source device, preserving identification information upfront rather than requiring manual naming later, thus maintaining both ease of operation and information retention.
3Productivity
If content is automatically organized based on analysis information, then content categorization is improved, but processing time and computational resources increase
Solution Approach 1:
The patent applies partial action by selectively organizing content based on the most important analysis information rather than processing every possible attribute. The server prioritizes key metadata such as content type, device source, and basic temporal information for automatic organization, while less critical details are processed later or manually if needed, thus reducing processing time while maintaining effective categorization.
Solution Approach 2:
The server performs preliminary organization actions by creating basic content categories and folders using readily available metadata before more detailed analysis is completed. This preliminary structuring allows users to immediately access and manage content in organized groups, with the option for further automated refinement as additional analysis information becomes available, balancing organization efficiency with processing time.
4Adaptability or versatility
If user-specific file name generation rules are implemented, then content personalization is improved, but system complexity and rule management increase
Solution Approach 1:
The patent implements self-service by enabling users to define their own file naming preferences and rules, which the server then automatically applies to their content. Users can customize patterns, selected information, and formatting preferences according to their needs, while the server autonomously generates file names using these rules without requiring ongoing user intervention, thus achieving personalization while managing system complexity through automated rule application.
Solution Approach 2:
The patent applies universality by designing a flexible rule system that can accommodate multiple user preferences and device types through a common framework. The server's file generation engine universally applies user-defined rules across different content types and sources, allowing the same system to serve diverse personalization needs without requiring separate complex mechanisms for each user or device, thus achieving adaptability while controlling overall system complexity.
Data Source
AI summary
A method of managing data by a server includes receiving, from a client device, a signal that requests for a content list corresponding to a user account; selecting a content related to the user account and a file name generation rule corresponding to the user account; generating a file name of the content based on the file name generation rule; and providing the content list including the file name of the content to the client device.