Design And Implementation Of Multi-dimensional Reputation Evaluation Model On Crowdsourcing System

With the rapid development of computer technology,the Internet age in changing our lives.The traditional way of consumption,shopping,access to information,etc.are silently changed.More and more people choose to shop online,learning communicate,but due to the diversity of the network environment,complexity,and time and space separation characteristics,often filled with a lot of fake and shoddy goods and fake,discordant information.How to distinguish the difference these information is particularly important,the credibility of the evaluation is a public evaluation of a series of historical behavior of individuals,organizations or companies,and is based on a comprehensive evaluation of the social network of the public to get feedback information related to the formation,which is the key accumulation of historical behavior of the entity to perform comprehensive quantitative.Crowdsourcing platform is a use of public wisdom and skills development platform,however,relates to the open system like valuable exchange will exist selfish and malicious behavior.Meanwhile Crowdsourcing as a flexible get help from public wisdom to solve the problem the way,more and more people's attention.In recent years,the field of crowdsourcing in different aspects of great progress,resulting in a lot of uses crowdsourcing model new applications.However,due to organizational model of crowdsourcing freedom too loose,how to make it effective participants to complete the task and comply with the order,which is currently crowdsourcing urgent need to address the problem.Reputation Management has been shown in many systems is a viable solution.However,numerous crowdsourcing system credit evaluation model is always flawed.In this paper,the existing credit evaluation model analysis,a improve model of credit rating,credit rating that is multi-dimensional model.The main work is summarized as follows to solve this problem:(1)to solve the credit rating of a single issue,improved multi-dimensional credit rating;(2)for lack of crowdsourcing system exists,lead the credit rating dimensional model into Crowdsourcing system,while the design of incentive and penalty mechanism to motivate workers to work and try to punish malicious for maintain crowdsourcing platform stability;(3)analysis of crowdsourcing system workers involved in motivation,theory of repeated games based on the use of long-term benefits outweigh the short-term interests mechanisms to prevent malicious workers.In system-based of crowdsourcing for lacking of credibility model,Improved optimization,proposes optimized to improve the credibility of multidimensional evaluation model.Incentives and quality control system is crowdsourcing the hardest and most crucial aspects,the paper examples of practical application of crowdsourcing platform,the introduction of transparent multi-dimensional model for this credit rating provides an effective solution to get by collecting participants range of activities operating in crowdsourcing system comprehensive assessment and analysis of the different dimensions of the pafrticipants analytical modeling,and appropriate penalties for its malicious actions in the system.Experimental results show that the model can effectively control the misconduct of some participants in crowdsourcing system.