Networked Collaboration Platform Real-Time Interaction Tracking
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Solution Overview
Problem
In large, technologically driven organizations, it is difficult to track user collaborations and interactions across multiple teams and projects in real time, as traditional collaboration tools lack intelligent features that consider a user's collaboration context, making it challenging to understand current projects and interactions without manual tracking.
Innovation Solution
A networked collaboration platform that monitors user interactions across various tools and applications to generate real-time collaboration features, which are used to provide intelligent recommendations, enhance search results, and improve user interfaces by suggesting relevant connections and updates based on collaboration scores and metrics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional collaboration tools are used to track user interactions, then the system is simple to operate, but the ability to track and analyze user collaborations across multiple teams and projects in real time is insufficient
Solution Approach 1:
The patent introduces a collaboration context analysis system that acts as an intermediary between traditional collaboration tools and users. This system collects interaction data from multiple sources (emails, calendars, document systems, instant messaging), processes it through feature extraction and collaboration scoring algorithms, and presents intelligent recommendations. The intermediary handles the complexity of real-time tracking across multiple platforms while maintaining user-friendly interfaces.
Solution Approach 2:
The patent replaces manual tracking methods with automated computational systems. Instead of users manually recording collaborations, the system automatically collects interaction data, computes collaboration scores using algorithms, and generates recommendations. This substitution of mechanical/manual processes with automated computational mechanisms enables real-time tracking without proportionally increasing operational complexity.
2Measurement precision
If manual tracking of user collaborations is performed, then the system complexity is low, but the measurement precision of user interactions and collaboration context is insufficient
Solution Approach 1:
The collaboration tracking system operates autonomously by automatically collecting interaction data from multiple integrated sources, computing collaboration scores without human intervention, and generating recommendations. The system serves itself by continuously monitoring, processing, and analyzing collaboration data, eliminating the need for manual tracking while providing precise measurement of user interactions and collaboration contexts.
3Loss of information
If comprehensive user interaction data is collected across multiple tools and applications, then the collaboration context understanding is improved, but the device complexity and data processing requirements increase
Solution Approach 1:
The patent extracts only the essential collaboration-related features from comprehensive interaction data across multiple tools and applications. Instead of processing all raw data, the system identifies and extracts key features (interaction frequency, collaboration patterns, project associations) that capture collaboration context. This selective extraction reduces data processing complexity while maintaining information completeness for collaboration analysis.
Solution Approach 2:
The patent applies different processing approaches to different types of interaction data based on their specific characteristics. Email interactions, calendar events, document collaborations, and instant messaging are processed with tailored feature extraction methods appropriate to each data type. This localized processing approach optimizes the balance between information completeness and system complexity by applying the right level of analysis to each data source.
Data Source
AI summary
A collaboration platform for implicitly determining user collaborations in real time or near real time is disclosed. The collaboration platform monitors event records generated based on user interactions with various team-based tools/collaborative applications to generate collaboration scores that provide a real time picture of a user's interactions with other users, and a user's interactions with content/objects/projects in the tools/collaborative applications. The collaboration platform also monitors user interactions with specific sub-projects to determine at any given time the users actively involved in any given project or sub-project.