AI Crowdsource Assistant for Task Matching Accuracy
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Crowdsourcing platforms face challenges in helping resources identify and select tasks that align with their interests, skills, and goals, as well as matching project managers with suitable resources, due to the geographical distribution of resources and the complexity of task postings.
Innovation Solution
A Crowdsource Assistant Services (CASS) suite utilizing an artificial intelligence engine with natural language processing, machine learning, and deep learning capabilities to generate accurate recommendations for resource profiles, task assignments, and marketplace suggestions, improving the efficiency and accuracy of resource allocation within the platform.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If crowdsource platforms provide a meeting space for task posters and resources to interact, then resources can identify and select tasks, but technical challenges arise from matching resources with tasks that align with their interests, skills, and goals
Solution Approach 1:
The patent introduces an artificial intelligence engine as an intermediary between task posters and resources. This AI engine analyzes resource profiles, task requirements, and historical data to generate accurate recommendations, effectively mediating the matching process without requiring direct complex interactions between all platform participants
Solution Approach 2:
The patent replaces manual task selection and matching mechanisms with automated AI-based recommendation systems. The AI engine processes and analyzes data to generate task recommendations, substituting the mechanical process of manual profile creation and task browsing with intelligent automated recommendations
2Productivity
If resources manually create profiles and search for tasks, then they can find opportunities, but the process is time-consuming and inefficient
Solution Approach 1:
The patent implements preliminary action by having the AI engine pre-analyze resource profiles and pre-generate task recommendations before resources actively search. The system proactively identifies suitable tasks and presents them to resources, eliminating the need for manual browsing and significantly reducing time loss
Solution Approach 2:
The patent enables self-service by allowing the AI engine to automatically create and update resource profiles based on historical data and interactions. Resources benefit from automated profile management and task recommendations without manual intervention, improving productivity while minimizing time investment
Data Source
AI summary
A crowdsource assistant provides guidance to crowdsource resources navigating a crowdsource platform to bid for and be accepted to accomplish tasks. The crowdsource assistant utilizes machine learning to train similarity computation models that improve the crowdsource assistant's computing capability to generate more relevant recommendations to a resource in a faster and more efficient manner.