Abstract
Freelancing is evolving as a distributed problem-solving and business production model in recent years. In freelancing paradigm, a company’s production cost can be greatly reduced by distributing the tasks to networked people to complete. In general, we observe that there has been research into specific aspects of freelancing, but relatively less. The main aspect of any freelanceing website is to select an appropriate recommendation system. This paper report on a literature survey of freelancing research, focusing on different appropriate algorithms for recommendation system on freelancing sites.
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