Folder Summarization Using Generative Models for Faster File Review
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Solution Overview
Problem
Existing filesystems often become disorganized, making it difficult for users to find and understand folder contents, leading to inefficient manual review of files and intensive resource consumption.
Innovation Solution
Leverage generative models like LLMs and VLMs to automatically generate summaries of folders, selecting a subset of files based on user roles and metadata to provide comprehensive summaries that save time and resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If users manually review files and information in folders, then they can understand folder contents, but it takes significant time
Solution Approach 1:
The patent introduces an intermediary system that includes a file selection engine and a summarization engine. The file selection engine selects representative files from the folder, and the summarization engine generates summaries of these selected files. This intermediary process provides users with condensed folder content understanding without requiring manual review of all files, thus resolving the contradiction between information understanding and time consumption.
2Loss of information
If users frequently launch and access different applications to review files, then they can access file contents, but it causes intensive consumption of computational resources, network resources, and battery resources
Solution Approach 1:
The patent extracts the essential information from files by generating summaries through the summarization engine. Instead of requiring users to access and review complete file contents across multiple applications, the system extracts key information into condensed summaries that can be viewed within the file management interface. This extraction process eliminates the need for intensive resource consumption associated with launching multiple applications while still providing users with meaningful file content understanding.
3Adaptability or versatility
If filesystems are organized in hierarchies of folders, then users can organize files in various manners, but finding individual files and understanding folder contents becomes difficult when disorganized
Solution Approach 1:
The patent implements a self-service mechanism where the system automatically generates folder summaries and selects representative files without requiring user intervention for organization. When users access a folder, the system autonomously analyzes the folder contents, selects relevant files using the file selection engine, and generates summaries using the summarization engine. This self-service approach maintains the flexibility of hierarchical folder organization while automatically providing ease of operation through generated summaries that help users quickly understand folder contents and locate relevant files.
Data Source
AI summary
Implementations relate to leveraging a generative model in summarizing a folder having different files and/or sub-folder(s). Various types of information associated with the folder, one or more files within the folder, user metadata associated with a user that requests summarization of the folder, and/or other types of information can be utilized to generate a folder summary request. The folder summary request can be processed using the generative model, to generate a model output reflecting a folder summary. The folder summary request can include one or more instructions that prompt the generative model, so that the folder summary generated for the folder using the generative model can include, for instance, an overview of the folder, key topics of the folder, and/or key files of the folder. The folder summary can also vary in dependence on the user (e.g., a first-time user vs. a frequent user frequently visits the folder, etc.).