  In a crowdsourcing market, a requester is looking to form a team of workers
to perform a complex task that requires a variety of skills. Candidate workers
advertise their certified skills and bid prices for their participation. We
design four incentive mechanisms for selecting workers to form a valid team
(that can complete the task) and determining each individual worker's payment.
We examine profitability, individual rationality, computational efficiency, and
truthfulness for each of the four mechanisms. Our analysis shows that TruTeam,
one of the four mechanisms, is superior to the others, particularly due to its
computational efficiency and truthfulness. Our extensive simulations confirm
the analysis and demonstrate that TruTeam is an efficient and truthful pricing
mechanism for team formation in crowdsourcing markets.
