Multi-dimensional Research On User Information Of Baidu Maps

Since the new century,with the rapid development of mobile network technology,intelligent terminal technology and Internet technology,especially the rapid development of mobile Internet in the past few years and the increasing number of mobile Internet users,current users are increasingly relying on smart phones,The user behavior data has exploded.These data are of great significance for user behavior research.As a special mobile application that provides services to users,the purpose of the study on user data is how to save when the user travels Time,the most efficient destination,and good access to geographically relevant servicesThis thesis from the user point of view,combined with the behavior of users using Baidu map as the research object,user portrait analysis of Baidu map user user attributes and behavior of multi-dimensional analysis.First of all,the multi-dimensional data analysis of map users is the formation process of user portrait.The user portrait is the mathematical modeling of users in the real world.The process of user portrait is to label users.Tags are symbolic representations of user characteristics,and user portraits can be represented by a collection of labels.Particularity Secondly,depending on the usage behavior data in the user’s time,through the decision tree,support vector machines,clustering and classification methods,user features are described in order to establish the model to reflect real user behavior,combined with map services for users Travel,service around the forecast.Finally,the big data computing framework,combined with algorithms and data model shared bicycle taxi in New York City data cleansing and data simulation modeling,data validation through analytical methods based on user portrait practical value of this paper,and analyzed based on the user User behavior analysis of image information can be centralized strategy to save costs.This thesis summarizes and summarizes the big data statistical analysis methods and storage methods,multi-dimensional data analysis methods,the definition and application of user portraits,study the establishment of portrait model,and gives the analysis method based on user portraits.Innovative proposed the basic composition of the user-based map-based,that is,the user’s basic natural attributes,the user’s acquired behavior attributes and predicts or seduces the user’s deep demand attributes.In this paper,the analysis method based on user portrait is suitable for Internet enterprises with a large amount of user data for the needs of user behavior analysis,and a good understanding of the needs of users,so as to better serve the users.