Design and Implementation of a Novel Method for Freelancer Bids Ranking

Abstract

Freelancer is open new opportunity nowadays and it’s growing fast. Millions of peoples work in freelancer as part-time jobs with online platforms. When customers post a project in online sites, worldwide thousand of freelancer employers bid that project and project owner should select the best employer to their project. Freelancer online sites are basing the completed number of projects and reviews for bids ranking their employers. Some sites are using a built ranking system to rank their employers. The ranking system based on several parameters, but users can’t see this ranking system and ranking parameters in online freelancer platforms. In this research is a suggested new effective and efficient bid ranking an algorithm for selecting the most suitable employer for the project among the bidders. The questionnaires are conducted to identify the suitable parameters to build bids ranking algorithm. A questionnaire collected 220 real freelancers’ data and got result most of the users work in fiverr.com (122), freelancer.com (108) and upwork.com (52). After analysing the data selected the most suitable four parameters for the ranking algorithm. There were on time, number of completed projects, on budget and skills parameters... The algorithm validated by using sample freelancer site with posted 100 of sample projects and checked accuracy of the novel bids ranking. As a result, a novel algorithm was performed 90% of success the bids ranking in with sample testing time. The freelancer customers always focus on time and budget in the project and better ranking system helps to select the best employers to projects among millions of workers.