Font Size: a A A

Research On Social Feedforward Control Management Based On The "recommended System" Mode Of Operation

Posted on:2018-12-11Degree:MasterType:Thesis
Country:ChinaCandidate:X Z ZhouFull Text:PDF
GTID:2357330515499036Subject:Public Management
Abstract/Summary:PDF Full Text Request
With the ceaseless development of information,networking,intelligent of modern society,the derived forms of crisis become more elusive.Traditional feedback control methods in the field have been unable to adapt to the complex and rapid development of modern society.So,people gradually begin to focus on the research of the mathematical methods of the feed-forward control.At present in the field of Social Science,the solution to this problem is to use the critical method of the feed-forward control,and there are few literatures about Recommender systems as a quantitative analysis method.This paper depends on Recommender systems produced in the electronic commerce activity analysis,to study the social feed-forward control management level,which finds its operation logic with the social feed-forward control management theory has a strong fit.The operation logic and value of Recommender systems data mining technology lies in the simple and rapid analysis of the relationship between the information and the information.It is the essence of information filtering,the situationand predict trends.For the management of social feed-forward control,Recommender systems can be generated from the social field of binary relational information data through the model processing to form a new insight.So it is possible to anticipate the development trend of a certain behavior state ahead of an unknown event,and achieve the ability to check erroneous ideas at the outset change danger into safety.What's more,it can provide a reliable guarantee for the long-term stability and prosperity of the society.In this study,two examples "Application of memory based recommender algorithm in crime prediction in China" and "Application of model based recommender algorithm in the management of national relationship in China" are given to clarify how the Recommender systems is used to implement the feed-forward control management in the social domain.Although Recommender systems technology cannot make accurate causal prediction,it has the characteristics of quick,simple and high efficiency.So Recommender systems is expected to become a new method of social feed-forward control management,new thinking.
Keywords/Search Tags:Recommender systems, Feed-forward control, Social prediction, Similarity
PDF Full Text Request
Related items