Team Content Identification System for Automated Curation

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Solution Overview

Problem

Existing digital content systems are inflexible, leading to inaccurate and inefficient content curation, requiring manual effort and consuming excessive computing resources due to their rigid nature, which results in outdated and irrelevant content being provided to user accounts.

Innovation Solution

A team content identification system that automatically generates and distributes team-specific collections of collaborative content items by determining relationships between user accounts and content items based on access patterns, sharing patterns, and activity data, using an organizational ontology to identify relevant content and reduce manual curation needs.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If manual curation of digital content is implemented, then relevant content can be identified for user accounts, but the system becomes inflexible and requires excessive computing resources

Engineering Contradiction:

Improvecontent identification accuracyVSAvoidsystem complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The system automatically generates and updates the organizational ontology structure, and automatically determines team memberships and content relationships without requiring manual intervention. The ontology self-updates as teams are added or removed, and as users access content, eliminating the need for specialized curators to manually maintain relationships between content and user accounts

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system pre-generates the organizational ontology structure based on expected team compositions and content categories. By establishing the ontology framework in advance and automatically populating it as data becomes available, the system avoids the need for manual curation while maintaining accurate content-user relationships from the outset

Inventive Principle:

Principle #10Preliminary action

2Reliability

If manual curation is used to maintain content-user relationships, then content relevance can be tracked, but the system becomes outdated and inaccurate over time

Engineering Contradiction:

Improvecontent relationship accuracyVSAvoidtime to update content

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The system continuously monitors user access patterns to content and automatically updates the organizational ontology and team memberships based on this feedback. When users access content, the system learns from these interactions and adjusts relationships dynamically, ensuring content accuracy is maintained automatically without manual intervention or time delays

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The system operates continuously to maintain content relationships by automatically updating the organizational ontology as teams are formed, dissolved, or modified. This continuous automatic update process ensures content accuracy is maintained at all times without requiring periodic manual curation cycles that cause delays and inaccuracies

Inventive Principle:

Principle #20Continuity of useful action

3Ease of manufacture

If specialized user accounts manually curate content, then content can be organized, but the system is inflexible to team changes and content updates

Engineering Contradiction:

Improvecontent organizationVSAvoidsystem flexibility

Core Design Contradiction:

Ease of manufactureVSAdaptability or versatility

Solution Approach 1:

The organizational ontology is designed as a dynamic structure that automatically adapts to changes in team compositions, user memberships, and content relationships. As teams are added, removed, or modified, the ontology automatically reconfigures itself, and as users access content, the system dynamically adjusts content-user relationships without requiring manual reorganization or specialized account intervention

Inventive Principle:

Principle #15Dynamics

4Measurement precision

If manual content curation is required, then content relationships can be established, but excessive user interactions and computing resources are consumed

Engineering Contradiction:

Improvecontent relationship accuracyVSAvoidresource efficiency

Core Design Contradiction:

Measurement precisionVSProductivity

Solution Approach 1:

The system replaces the mechanical process of manual content curation and user interactions with an automated computational process. Machine learning algorithms and automatic ontology generation replace the need for users to manually navigate and organize content, eliminating excessive user interactions while maintaining accurate content relationships through automated analysis of user access patterns and team structures

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS11853968B2Generating and providing collections of collaborative content items to teams of user accounts

Publication Date: 2023.12.26 DROPBOX INC

AI summary

The present disclosure is directed toward systems, methods, and non-transitory computer readable media for generating and providing team-specific collections of collaborative content items. For example, the disclosed systems can determine relationships between teams of user accounts and various collaborative content items. Based on the determined relationships, the disclosed systems can identify which collaborative content items are germane to which teams and can provide the collaborative content items to user accounts accordingly. As part of determining relationships between collaborative content items and user accounts (or teams of user accounts), the disclosed systems can determine various information pertaining to the collaborative content items, including access patterns, sharing patterns, activity information, and geographic information.