Crowdsourcing-based crowdsourcing contribution review method
A crowdsourcing and expert technology, applied in the field of crowdsourcing-based group intelligence contribution review, can solve the problems of difficult control of review quality, heavy organization and management work, etc., to achieve the effect of ensuring fairness and science, eliminating malicious scoring, and enhancing contributions
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[0031] The present invention will be described in detail below in conjunction with the accompanying drawings and embodiments.
[0032] The idea of the present invention is to conduct crowdsourcing review of crowdsourcing tasks, and score and evaluate through competitors participating in the tasks and other registered users of the platform. The traditional expert review is independent and accidental each time, so scoring rules need to be designed to prevent malicious scoring.
[0033] The basic scoring rules are designed as follows:
[0034] 1) The historical data information of the user includes: the professional direction of the user, the tasks participated in, the scoring activities participated in and related scoring records (previous scoring, weight coefficient, final task scoring), user activity, etc.;
[0035] 2) Generate a weighting factor based on the historical rating data information of the selectors, and weight the actual rating of the user each time;
[0036] 3...
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