Real task allocation method applied to preference crowd-sourcing system

摘要: The invention discloses a real task allocation method applied to preference crowd-sourcing system. A system model is put forward, the has multiple requesters, and each requester submits one task. Each different work load, value of related difficulty effort level worker executing Regarding model, further provides method, having target maximizing total allocated mainly composed two core algorithms: algorithm based on greed density greed. random established over algorithms. characteristics calculation effectiveness, load feasibility, reality constant factor approximation ratio.