| dc.description.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. | |
