User Profile based system to optimize Crowdsourcing Operations

Abstract

Crowdsourcing is a leading concept in problem solving. It allows thousands of individuals to gather online to solve machine-hard problems and achieve solutions. Quality, Cost and Latency are considered as control factors of crowdsourcing, that is, the performance of crowdsourcing depend on these factors. Traditionally, optimization refers to reduction in time, that is latency of getting a job done. The expected optimization of crowdsourcing is based on three control factors, quality, cost and latency. So, it is very important that these three factors are optimized properly to achieve an overall optimization in the platform. The problem is, it is not easy to achieve the full optimization in terms of quality, cost and latency. Therefore, it is necessary in terms of crowdsourcing for a solution that would enhance all the three control factors. To overcome this problem, a software solution was developed to cater these requirements. The software would optimize the process of crowdsourcing from entering a task to the point of viewing solutions for the task. In between, it will make sure sub processes work in a manner that enables a smooth flow of the system. The process would target the workers who work on the task based on the task domain, process the task to find pre crowdsourced solutions, a notification system to interact the workers quickly and a method to handle recurring type of tasks. The features of the solution are dependent on the information provided by the users during the registration process to the crowdsourcing platform. This can be defined as a limitation of this solution. Finally, this process can be inherited by any crowdsourcing platform to enhance its crowdsourcing operations.