A group intelligence perceptual incentive method based on diffusion and data quality

Abstract

The invention discloses a group intelligence perception excitation method based on diffusion and data quality. The method specifically comprises the following steps: the platform selects a group of initial diffusers according to the social relationship of the interested community in the social network; The platform publishes a set of tasks to these initial proliferators; Diffusers spread their influence according to the task diffusion model, infecting users participate in perceptual tasks; All infected users submit a bid with a quote to the crowdsourcing platform, which evaluates the quality of each infected user's historical data, then selects the winner based on the unit quality cost, and calculates the winning user remuneration. The method provided by the invention satisfies individualrationality, anti-deception, computational effectiveness and unit quality cost optimization, and can be used in mobile group intelligence perception system with less number of participating users.

Description

technical field [0001] The invention relates to a method for motivating group intelligence sensing, in particular to a method for motivating group intelligence sensing based on diffusion and data quality. Background technique [0002] Mobile crowd sensing is an effective way to use the mobile sensing devices of ordinary users to collaborate and complete complex large-scale social sensing tasks through the mobile Internet. But most of the crowd sensing models assume that there are already a large number of users in the mobile crowd sensing system. However, most of the existing crowd sensing systems have not many registered users, especially the number of active users only accounts for a very small proportion of the total number of users. [0003] The success of mobile crowd sensing applications largely depends on whether a group of qualified users can be recruited to perform sensing tasks. Therefore, the quality of user data is of paramount importance. Users may be influen...

AI Technical Summary

Problems solved by technology

[0004] Purpose of the invention: Aiming at the defects in the prior art, the present invention provides a crowd-sensing incentive method based on diffusion and data quality to solve the problem of mobile crowd-sensing systems with few active users and low user data quality, and satisfy the Individual Rationality, Anti-Cheating, Computational Efficiency, and Unit Quality Cost Optimality

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