Research On Capacity Aware-based Method Of Accurately Accepting Tasks For New Workers

The rapid development and wide application of the Internet has become one of the main impetus of enterprise progress.The accurate acceptance of tasks is an important index to measure the crowdsourcing behavior and directly affects the worker's incomes.If a worker cannot effectively select suitable tasks,it would be difficult for him/her to ensure the benefits of those tasks.It not only causes a lot of consumption of time and energy,also reduces the worker's enthusiasm of participation in commercial crowdsourcing platform.Therefore,it is the key for a worker to obtain the benefit by selecting the appropriate task accurately.For solving the problem of the inaccuracy of accepting tasks,a capacity aware-based method of accurately accepting tasks for new workers is proposed.Based on a capacity aware-based method,the paper gets the completion time of tasks.Combined with the algorithm of evolutionary optimization,the set of tasks suitably selected by new workers can be obtained and new workers can gain the revenues as much as possible.Firstly,the acceptance of tasks is modeled as a constraint optimization problem.Then,the consumption time of completing tasks is estimated based on the information of similar interest workers and similar tasks.Finally,with the genetic algorithm,the established model is solved and the set of tasks is generated.With many different competitors in the actual crowdsourcing platform,a competitive intensity-contained method of accurately accepting tasks for new workers is proposed.It mines the set of workers with different types of competition and combines with the consumption time of task to calculate the intensity of competition so as to obtain the set of tasks suitably selected by a new worker.Then the new worker can gain revenues as much as possible.Firstly,based on the recommended set of tasks,the set of workers competed obviously with the new worker is obtained.At the same time,the set of workers competed potentially with the new worker can also be searched with the information of tasks which are similar with the set of recommend tasks.Then,the competitive capacity of every worker can be calculated based on the capacity aware-based method.Finally,the set of tasks suitable for the new worker is formed by deleting and(or)increasing tasks in the recommended set with comparing workers' competitive intensity.