Design And Implementation Of Campus Activity Recommendation System Based On Interpersonal Relationship

A new social era starts with the continuous development of technology,along with the gradual change of people's concept about the social network.As the representative of mobile devices,the smart phone has been more and more popular and its sense of cognation also gets stronger,which promotes the mobile social network services to become a new research issue.Based on the background setting of campus,this thesis aims to not only simply copy the social networking website,but also to implement activities recommendation,which underlines the relationship among users combined the realistic conditions of campus life.In this way,the purpose of enriching extracurricular activities and expand interpersonal network for users will be achieved.This thesis investigates and analyzes the research and application of the current activity recommendation system,designs the demand and goal based on the characteristics of the real campus life.Distinguished from the computer terminal,to excavate the network value as much as possible,this thesis brings forward the method to implementation context awareness function of user's condition by the built-in capability of mobile devices,such as GPS,WiFi,accelerated sensors.What's more,by means of individual and group recommendation,this thesis establishes an activity recommendation system model to realize the person recommendation considering the characteristics of users' status,interest preference and the campus interpersonal relationship.The function of individual activity recommendation is achieved by the users group who request for activity recommendation in the position of the central point.The network interpersonal relationship graph is depicted by the node of users and the edges of man-machine relationship,to realize the friend recommendation function based on the user's real-time participating condition.The deployment of the system to simulate the realistic activity organization and interpersonal communication approach by the pattern of client and server port based on Android platform.On the one hand,the client port collects the information of users' status and interest history by the way of users' own input or the sensor cognition in the mobile devices.On the other hand,the server port is mainly responsible for the receive,storage,process and the feedback of the collected data.The structure of the system's functions designed in this paper are closely compatible with the logic and the operations are explicit and easy to handle.The strong sense of cognition of mobile devices are thoroughly utilized to realize the function of recommend friend and activity in the system.The system is not only able to embody the importance of activity platform,the individualism of mobile terminals and the mobility of business,but also capable to provide a practical approach to maintain the relationships among users and broaden interpersonal interactions,to make the users' spare time more brilliant.