Task Assignment Vector Space NLP Automation
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Solution Overview
Problem
Current cooperative development platforms lack automated assignment of newly opened tasks to appropriate participants, leading to delays as manual assignment by project managers can take several days, and external individuals often misassign tasks based on title and description rather than expertise.
Innovation Solution
A computer-implemented method that receives new task data, transforms it using natural language processing, represents the task as a vector in a vector space associated with completed tasks, calculates distances to rank participants, and automatically assigns the task to the most suitable participant based on similarity and availability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If manual assignment by project managers is used, then tasks can be assigned to participants, but it takes several days causing delays
Solution Approach 1:
The system performs self-service by automatically analyzing new task descriptions, comparing them with historical task data, and assigning tasks to appropriate participants without requiring project manager intervention. The automated system serves itself to eliminate manual assignment delays.
Solution Approach 2:
The patent replaces the mechanical manual assignment process with an automated computational system that uses natural language processing, vector space modeling, and similarity algorithms to perform task assignment, substituting human manual operations with automated information processing.
2Productivity
If external individuals assign tasks based on title and description, then tasks can be assigned quickly, but misassignment occurs due to lack of expertise knowledge
Solution Approach 1:
The system uses feedback from historical task completion data to improve assignment accuracy. By analyzing past tasks completed by each participant and comparing them with new task characteristics, the system learns and refines its assignment decisions, ensuring both speed and accuracy.
Solution Approach 2:
The patent transforms task descriptions into vector representations and changes the parameter space from simple text matching to multi-dimensional vector similarity comparison, enabling more precise matching of task requirements with participant expertise while maintaining automated speed.
3Measurement precision
If automated assignment using natural language processing is implemented, then assignment accuracy improves, but system complexity increases
Solution Approach 1:
The system achieves universality by creating a multi-functional platform that handles task description analysis, participant profile matching, similarity calculation, and assignment decision-making within a single integrated system, reducing the need for multiple separate tools and processes.
Solution Approach 2:
The patent introduces vector space representations as an intermediary between raw task descriptions and participant matching. This intermediary transformation simplifies the complexity by converting unstructured text into standardized numerical vectors that can be efficiently compared and processed.
Data Source
AI summary
Systems and method for automatically assigning cooperative platform tasks to appropriate participants are disclosed. In embodiments, a method includes receiving new task data for a new task posted to a remote server; transforming the new task data by natural language processing to produce transformed new task data; representing the new task as a vector in a vector space based on the transformed new task data, wherein the vector space includes representations of completed tasks, and the completed tasks are associated with respective participants; calculating distances between the new task and the respective completed tasks represented in the vector space; ranking the respective participants based on the distances between the new task and the completed tasks associated with respective participants; determining a select participant of the respective participants to be assigned to the new task based on the ranking; and initiating automatic assignment of the new task to the select participant.