Team crowdsourcing algorithm based on personal ability and social activity
An active and crowdsourcing technology, applied in the field of team crowdsourcing algorithms, can solve problems such as loss of enthusiasm and decline in team labeling value, and achieve the effect of promoting mutual collaboration and increasing labeling value
Pending Publication Date: 2022-08-05
QUFU NORMAL UNIV
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However, the current incentive mechanism in team crowdsourcing is to reward the teams and individuals with the highest labeling value. Workers who rank lower in the team may lose their enthusiasm, which will reduce the overall labeling value of the team.
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[0028] In order to enable those skilled in the art to better understand the present invention, the technical solutions of the present invention are further described below with reference to the accompanying drawings and embodiments.
[0029] In this case, if Figure 1-2 As shown, a team crowdsourcing algorithm based on personal ability and social activity of the present invention includes the following steps;
[0030] S1: Screen the crowdsourcing workers used to form the team, set the minimum threshold τ that allows the crowdsourcing workers to participate in the team formation, and set S={s 1 ,s 2 ,…,s m };
[0031] S2: Divide the ability level of the crowdsourcing workers. Each crowdsourcing worker in the set S needs to complete an equal number of N experimental tasks. Represents the number of tasks correctly labeled by each worker, based on the correct rate of tasks completed by crowdsourced workers Determining competency levels of crowdworkers;
[0032] S3: Form a ...
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The invention discloses a team crowdsourcing algorithm based on personal ability and social activity, and the algorithm is based on a mutual cooperation principle and a competition mechanism among crowdsourcing workers in a team, and is divided into a worker ability division stage, a grouping stage and a salary calculation stage from beginning to end. The algorithm comprises the following operation steps: S1, screening crowdsourcing workers for building a team, and forming a crowdsourcing worker set S = s1, s2,..., sm; s2, dividing capability levels of crowdsourcing workers according to task completion accuracy; s3, building a crowdsourcing worker team T = {T1, T2,..., Tt} according to a random allocation principle; s4, annotating the crowdsourcing task, wherein the annotation value of the crowdsourcing worker on the crowdsourcing task is v (sj theta); s5, counting social activeness values of the crowdsourcing workers; and S6, calculating the remuneration of crowdsourcing workers by using three team crowdsourcing algorithms, including a team crowdsourcing algorithm based on worker ability perception, a team crowdsourcing algorithm based on worker ability and activeness, and a team crowdsourcing algorithm based on combination of team competition and personal competition.
Description
technical field [0001] The invention belongs to the technical field of crowdsourcing reward algorithms, and in particular relates to a team crowdsourcing algorithm based on personal ability and social activity. Background technique [0002] The grouping algorithm of existing team crowdsourcing only balances the number of crowdsourcing workers in the group. However, in the actual crowdsourcing scenario, the task labeling ability of the crowdsourcing workers is different. However, in most team crowdsourcing studies, the competencies of crowdsourcing workers are not focused. For the same crowdsourcing task, crowdsourcing workers with different abilities are selected to form a team, and the task annotation results obtained are different. [0003] Research confirms that the addition of incentives increases the motivation of crowdworkers in the team to label. However, most of the current incentive methods in team crowdsourcing are to reward the task of labeling the top teams and...
Claims
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Login to View More IPC IPC(8): G06Q10/06G06Q50/00
CPCG06Q10/06311G06Q50/01
Inventor 董兆安高丽君李月阳
Owner QUFU NORMAL UNIV