Content Collaboration Automation for Hierarchical Document Organization
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Solution Overview
Problem
Content collaboration networks face inefficiencies due to outdated or infrequently accessed content items being displayed, leading to reduced performance in search and navigation, and lack of formal organization schemes result in redundant and unhelpful information.
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
1Productivity
If content items are displayed in search results or navigation menus, then users can access content, but outdated or infrequently accessed content reduces search and navigation performance
Solution Approach 1:
The system extracts and removes outdated or infrequently accessed content items from search results and navigation menus based on deviation metrics. This selective removal improves search and navigation performance by reducing the quantity of displayed content items while maintaining access to relevant content.
Solution Approach 2:
The system performs preliminary analysis of content items using deviation metrics to identify outdated or infrequently accessed content before it impacts search and navigation performance. This proactive approach allows the system to reorganize content structures in advance, preventing performance degradation.
2Stability of the object's composition
If formal organization schemes are implemented, then content structure is improved, but system complexity increases
Solution Approach 1:
The system implements dynamic organization schemes that automatically adjust content structures based on deviation metrics and usage patterns. This dynamic approach maintains stable content organization without requiring complex manual configuration, as the system adapts structures automatically based on observed data.
Solution Approach 2:
The system performs self-organization of content items by automatically analyzing deviation metrics and reorganizing content structures without external intervention. This self-service capability improves content organization stability while avoiding the complexity of manual organization schemes.
3Productivity
If automation rules are applied to restructure documents, then hierarchical structure efficiency is improved, but computational load increases
Solution Approach 1:
The system applies automation rules selectively to only those document hierarchical structures that exhibit significant deviation from optimal organization. This partial action approach improves document organization efficiency while minimizing computational load by avoiding unnecessary analysis and reorganization of already-optimized structures.
Solution Approach 2:
The system uses deviation metrics as parameters to trigger automation rules only when organizational efficiency falls below threshold levels. This parameter-based approach optimizes the balance between reorganization benefits and computational costs by activating automation only when needed.
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.