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Crowd-sourcing user participant recruitment method based on geo-social network

机译：基于地理社交网络的众包用户参与者招募方法

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摘要

Crowd-sourcing is a way of spreading tasks to different executive groups to solve a large number of tasks with group power. How to quickly collect a large number of executors is one of the main research problems of Crowd-sourcing task distribution. In this paper, a social network-oriented crowd-sourcing task information propagation method is adopted, which applies mobile behavior preference and information interaction among users to the task distribution process of swarm perception, accelerates the task information propagation process, and realizes more accurate and efficient task recommendation and assignment. Thesis research contents: one is the user interest preferences mobile behavior, social network analysis, the second is combined with the physical, social dual space Crowd-sourcing task information propagation, third is the use of optimized algorithm to choose the best collection of workers, and has been conducted on real data sets, the results show that paper method on the premise of guarantee the task completion promoted the rapid spread of task efficiently and high reliability, reasonable resource calls.
机译：众包采购是一种将任务分散到不同的执行团队以通过团队力量解决大量任务的方法。如何快速收集大量执行者是众包任务分配的主要研究问题之一。本文采用一种面向社会网络的众包任务信息传播方法，将移动行为偏好和用户之间的信息交互作用于群体感知的任务分配过程中，加快了任务信息的传播过程，实现了更准确，更准确的传播。高效的任务推荐和分配。论文研究内容：一是用户兴趣偏好的移动行为，社交网络分析，二是结合了实体，社会双重空间的众包任务信息的传播，三是利用优化算法选择了最佳的工人集合，结果表明，本文方法在保证任务完成的前提下，有效地促进了任务的快速传播，高可靠性，合理的资源调用。

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