Relevance-Scored Document Graphs Beyond Folder Hierarchies
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Solution Overview
Problem
Conventional document hosting systems face challenges in efficiently representing and searching for relationships among documents and user profiles due to cumbersome folder hierarchies, which can become outdated and impractical as organizations grow, leading to inefficiencies in locating relevant information.
Innovation Solution
The system generates an object graph comprising interconnected nodes representing relationships among documents, folders, and user profiles, calculating relevance scores based on edges to provide query results or recommendations without manual reorganization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a folder hierarchy is used to organize documents, then documents can be categorized by topic, but the structure becomes a multilayered labyrinth that slows down information retrieval
Solution Approach 1:
The patent transitions from a one-dimensional folder hierarchy to a multi-dimensional network graph structure where documents are connected through multiple relationship types (topics, projects, collaborations, sequences). This allows users to navigate documents through different dimensional paths simultaneously, bypassing the need to traverse deep folder hierarchies and significantly reducing search time while maintaining organizational capabilities.
2Adaptability or versatility
If a curated folder hierarchy is maintained, then documents are organized by default, but the structure quickly becomes outdated as projects and teams change
Solution Approach 1:
The patent implements a dynamic network graph that automatically adapts to organizational changes by detecting and representing new relationships as they emerge (new projects, team collaborations, document sequences). Unlike static folder hierarchies that require manual reorganization, the graph structure continuously evolves to reflect current organizational state, maintaining adaptability without increasing operational complexity for users.
Solution Approach 2:
The system automatically maintains the information structure by detecting relationships among documents and users through metadata analysis and user interactions. This self-organizing capability eliminates the need for manual cur curation and reorganization of folders, allowing the structure to adapt to organizational changes automatically while keeping the interface simple for users.
3Adaptability or versatility
If documents are organized into specific folders, then they are easily categorized, but documents relating to multiple folders cannot be represented in multiple locations
Solution Approach 1:
The patent merges multiple organizational dimensions (topics, projects, collaborations, sequences) into a unified network graph structure. Documents can participate in multiple relationships simultaneously through different edge types, eliminating the need to choose a single folder location while maintaining clear organizational context. This unified approach represents complex document relationships without increasing user-facing complexity.
Data Source
AI summary
This disclosure generally covers systems and methods that identify relevant information for a user based on an object graph for documents and other files hosted by a document hosting system. In particular, certain embodiments of the disclosed systems and methods generate an object graph comprising interconnected nodes representing relationships among documents and other files on the document hosting system. Using the object graph, the disclosed systems and methods can identify relevant information and provide results or recommendations corresponding to that information based on a query or on user input, respectively.