Document Hierarchy Automation for Cluttered Collaboration Platforms
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Solution Overview
Problem
Content collaboration networks face inefficiencies due to outdated or infrequently accessed documents being displayed, leading to reduced performance in searching, navigating, and loading, and lack of formal organization schemes result in redundant and unhelpful content items.
Innovation Solution
A computer-implemented method generates automation rules to restructure hierarchical document structures based on deviation metrics, archive infrequently accessed documents, and suggest template creation, using machine learning to analyze user interactions and apply rules to improve efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If documents are displayed in search results or navigation menus, then user access to content is improved, but outdated or infrequently accessed documents reduce system performance and create clutter
Solution Approach 1:
The system changes the parameter of document visibility by transitioning documents from active display in navigation menus to archived state based on usage metrics. Documents that fall below access thresholds are automatically hidden or removed from prominent views, improving system performance while maintaining access to frequently used documents.
Solution Approach 2:
The system performs self-service by automatically monitoring document access patterns and managing document visibility without manual intervention. The automation system evaluates usage metrics and independently determines which documents should be archived or kept visible, reducing the need for manual content management.
2Ease of operation
If automation rules are applied to restructure hierarchical document structures, then document organization is improved, but system complexity increases
Solution Approach 1:
The system implements self-service through automation rules that automatically restructure hierarchical document structures based on defined criteria. The system monitors document relationships and autonomously performs reorganization operations, improving document organization while the automation handles the complexity internally.
Solution Approach 2:
The system uses feedback loops where automation rules continuously evaluate document hierarchical structures against organizational criteria. When deviations are detected, the system automatically applies corrective restructuring operations, creating a self-regulating organization system that manages complexity through iterative evaluation and adjustment.
Data Source
AI summary
Embodiments include generating automations for a content collaboration system. Generating automations can include displaying graphical objects corresponding to documents hosted by the content collaboration system at a navigation pane of the content collaboration system and determining a deviation metric using a hierarchical structure of the graphical objects and a reference structure. In response to the deviation metric satisfying a criteria, an automation rule for the change to the hierarchical structure of the displayed graphical objects can be displayed. The automation rule can include a reference between a graphical object of the displayed graphical objects and a root reference and a change to the reference between the graphical object and the root reference. Embodiments can also include executing the automation rule to update the hierarchical structure of the displayed graphical objects and update hierarchical structures of the one or more additional graphical objects hosted by the collaboration system.