Automated File Naming and Organization via Machine Learning

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Solution Overview

Problem

Users often save the same file in multiple locations due to a lack of organization on their computers, leading to inefficiencies in file management.

Innovation Solution

A machine learning system analyzes file contents, including text and images, to determine topics and automatically suggests or generates a filename and folder name based on these topics, allowing for organized file storage by grouping files with common topics together.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If manual file saving is used, then user control over file placement is maintained, but file organization deteriorates leading to duplicates and clutter

Engineering Contradiction:
Improvefile saving operationVSAvoidfile management efficiency
Core Design Contradiction:
Ease of operationVSProductivity

Solution Approach 1:

The system enables files to organize themselves automatically through machine learning analysis. When a file is saved, the system automatically analyzes its content, determines the appropriate folder, and places it there without requiring user intervention. This self-organizing capability resolves the contradiction by making the system serve itself rather than requiring continuous user management.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system performs preliminary analysis of file contents at the moment of saving to pre-determine the optimal storage location. By analyzing file metadata, content, and existing folder structures in advance, the system prepares the organization structure before the user needs to manually intervene, thus improving both ease of operation and file management efficiency.

Inventive Principle:
Principle #10Preliminary action

2Productivity

If automated file organization is implemented, then file organization is improved, but system complexity increases

Engineering Contradiction:
Improvefile organization efficiencyVSAvoidsystem structure
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The patent replaces manual mechanical file organization actions with an automated machine learning system. Instead of users physically dragging and dropping files or manually creating folder structures, an intelligent algorithm automatically analyzes file contents and determines optimal placement. This substitution reduces the perceived complexity for users while maintaining organized file structures.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system changes the parameters of file organization from static user-defined folder structures to dynamic, content-based organization. By analyzing file metadata, content keywords, and usage patterns, the system adaptively determines organization parameters, allowing flexible and intelligent file placement without requiring complex pre-configured folder hierarchies.

Inventive Principle:
Principle #35Parameter changes

3Ease of operation

If files are saved in multiple locations, then accessibility is improved, but file management reliability deteriorates due to duplicates

Engineering Contradiction:
Improvefile accessibilityVSAvoidfile management consistency
Core Design Contradiction:
Ease of operationVSReliability

Solution Approach 1:

The system implements feedback mechanisms to track file locations and usage patterns. When a file is saved or accessed, the system learns from this behavior and uses the feedback to improve future organization decisions. This feedback loop ensures that files are placed in locations that are both accessible and consistent with user preferences, preventing duplicates while maintaining accessibility.

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The system creates universal access points to files through symbolic links, shortcuts, or cloud-based access mechanisms. Instead of copying files to multiple physical locations, the system provides multiple access paths to the same file instance, maintaining reliability by avoiding duplicates while preserving accessibility through various entry points.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Data Source

PatentUS11625361B2Automated file naming and file organization using machine learning
Publication Date: 2023.04.11 DELL PROD LP
  • US11625361B2 patent drawing
  • US11625361B2 patent drawing
  • US11625361B2 patent drawing

AI summary

In some examples, before saving a file, a device analyzes contents (e.g., text and images) of the file to create a bag of words. The device performs Latent Dirichlet Allocation of the bag of words to determine topics included in the file and orders the topics in descending order of frequency. The device generates a particular name of the file based on the ordered topics and automatically save (or suggest saving) the file with the particular name. The device determines, based on the ordered topics, a folder name of a folder in which to store the file. If an existing folder has the folder name, then the device saves the file in the existing folder. If not, then the device creates a new folder with the folder name and saves the file in the new folder.