Traffic User Recommend Classification Model Based On Crowdsourcing UGC

In WEB 2.0 era's last 10 years,the number of internet users grows exponentially as well as the technological change and with the merge of the new network of interaction,a large amount of information has been generated and propagated through over the Internet.Intelligent traffic information platform as the WEB 2.0 platform era,"rising star",though,is still relying on large-scale deployment of sensors and other hardware which is still the main way to collect traffic information,but inevitable,it has been exposed the limitations of relying on data collection equipment.At the same time,ignoring the user's social attributes is the waste of the existence of massive UGC platform.Considering about the background and status of research,the paper proposed a traffic user recommend classification model based on crowdsourcing UGC.And it carried out the following research aspects.1.Research of relationship between traffic user behavior characteristics and crowdsourcing UGC.2.Research of traffic user classification recommend criterion and related algorithms.3.Research of simulation of Intelligent Transportation Information Platform which produces the information that the paper needs.This paper regards intelligent transportation information platform based on Cartesian coordinate system as a simulation basis,combined with the platform features WEB 2.0 era,crowdsourcing UGC features,user behavior characteristics,taking advantage of game Shapley power index,graph theory knowledge,the shortest path algorithm,dynamic programming algorithm matching routes,segmentation tools,and made a mixture of crowdsourcing UGC and user classification recommended solution and verify the effectiveness and feasibility of the model traffic information platform through the data.Traffic user recommend classification model based on crowdsourcing UGC would provide users with real-time traffic information relative recommendation,friends recommend etc.It would facilitate user access to information they really care about.Making "is taken from the user,giving back to the user" happen on the traffic information platform is the final aim of the paper.