Lecture Information Sharing And Recommendation System Based On Android

In the era of mobile Internet,Most of the lecture is propagated through the network platform,such as sites,WeChat public number,Sina weibo and so on.Facing the fragmentation of the lecture information on the Internet,it is not easy for users to get information about the lectures they are interested in,and they need to log on to different platforms for one by one,time-consuming and laborious.It influenced a lot of people's enthusiasm,also led to a number of excellent lecture attendance is low,then the lecture resources can't make good use of.In this paper,through the current research on the status of lectures,combined with the current trends in the development of mobile Internet and software development technology,the use of crawler means to collect information on the lecture,the use of classification technology in accordance with the title of the classification of reasonable classification,the maximum of the Internet fragmented lectures Information is integrated.For users,relying on Android client,users only need to move their fingers,then they can easily get around the latest and most complete lecture information.In order to enhance the user experience,the system provides users with time reminders,map positioning,sharing friends circle and other features,but also by analyzing the user behavior characteristics which based on the user's collaborative filtering algorithm for the user personalized recommendation to help users to find their interested lectures.In addition,users can also feedback and suggest to help schools and speakers to organize more and more high-quality lectures,cultivating the user behavior to listen lectures at the same time,to maximize the lecture of educational resources to share the purpose of depth.The system development work has been basically completed,the initial test system functions have reached the design objectives.