| As the trend of economic globalization continues to intensify,the economic income of people in all countries is slowly rising-Especially in developing countries,the composition of consumption in their countries is in the transition stage,automobile related enterprises in this stage get unprecedented opportunities.In the automotive sector alone,companies see great market potential in developing countries.Nowadays,developing countries have become the center of global automobile processing and production,among which China is more prominent.China’s automobile industry is an important component of the world automobile system,with its own set of vehicles and parts production system.In the process of car research and development,promotion and sales,some data will be generated,including consumers’ purchase intention level,intended brand model,city,name,mobile phone number and other information.After technological accumulation and precipitation,a new data resource is formed,which we call clue.In view of the current research situation at home and abroad,most researchers focus on the collection of clues and how to get an effective and accurate clue.They just put forward relevant algorithms and study how to optimize,but they do not really use these clues.Based on the above situation,this thesis studies and develops a cue push system based on user behavior data of an automobile website.The system collects the information of automobile brands,models and price ranges from major automobile websites by technical means and saves them in files and databases for use by other docking systems.Forward this system can be regarded as a data center,it according to the user’s car will grade and intention of brands filter can meet the demand of the third party customers clues,then put these clues to push after data processing to the appropriate third party carmakers,help them to make effective marketing plan,increase the rate of deal,has strong practical significance.This thesis first summarizes the relevant use of technology,then the system requirements analysis and design,introduced the system research objectives and implementation principles;It describes the business process and role division of the system,and analyzes in detail the functional requirements of user management,customer management,project management,data processing,data monitoring and so on.Non-functional requirements such as high efficiency,maintainability,scalability and stability are described.Secondly,based on the demand analysis,the overall architecture of the system is designed.The system is divided into user interaction layer,control layer,business layer,data layer and database service layer,and the logical functions of each layer are described in detail.E-R diagram is used to describe the overall design of database and table structure design.The back-end functional module design and front-end page prototype design of the system are described.Thirdly,combined with class diagram and sequence diagram,the realization logic of each module of the system is described,including user management,project management,customer management,data processing,data monitoring and other five modules.Part of the system operating interface is displayed.Finally,after the system is deployed,test cases are written according to specific requirements,and the test process and test results are described in detail.Through the detailed analysis of the test,it is proved that the system meets the above functional requirements. |
