Crowdsourcing task distribution method based on user reliability

Abstract

The invention discloses a crowdsourcing task distribution method based on user reliability. The method comprises: S1, inputting a user set W and a task set T; S2, starting task distribution and carrying out initialization on a correlated task and the user set; S3, for each task ti in the to-be-distributed task set T, selecting a user meeting a condition and adding the user into a user set Wr,I of the task ti; S4, starting a first round of user distribution and carrying out ergodic processing on each task in the to-be-distributed task set T; S5, carrying out user distribution form a second round to the first round and carrying out ergodic processing on each task ti in the to-be-distributed task set T; and S6, completing the task distribution and updating a reputation value of the ser according to the quality of task completion by the user in the set Wr. Therefore, reliability and heterogeneity of the user and task heterogeneity can be guaranteed; and the effective yield of the task can increase and thus more user can be simulated to complete tasks with high quality.

Description

technical field [0001] The invention relates to the technical field of computer network and communication, in particular to a crowdsourcing task assignment method based on user reliability. Background technique [0002] Crowdsourcing refers to the practice that a company or institution outsources work tasks previously performed by employees to a non-specific (and usually large) public network in a free and voluntary manner. People on the crowdsourcing platform are divided into two categories: those who post tasks on the platform are called task publishers, and those who complete tasks are called users. Task publishers post tasks on the platform, and users get paid for completing tasks. Typical tasks of crowdsourcing include designing graphics, soliciting marketing proposals, image labeling, and data collection. [0003] The working method of crowdsourcing can help the task publisher obtain a large number of free users, and solve practical problems by using the wisdom of th...

AI Technical Summary

Problems solved by technology

[0004] However, existing discussions on user service quality differences only exist in pure task assignment methods, and do not provide a reasonable incentive mechanism to attract users to participate in tasks

Moreover, most of the existing research focuses on the single-user single-task model, that is, each task is only assigned to one user to complete, and the reliability of the user, the heterogeneity of the user, and the heterogeneity of the task are not fully considered. The problem is that for the same task, the quality completed by different users is different; and for the same user, the quality completed by different tasks is also different

It can be seen that there are still defects in the design of the crowdsourcing working method and incentive mechanism, which cannot meet the actual needs of the crowdsourcing system.

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