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Design And Implementation Of Subject Recommendation And Practice System For Mobile Terminal Users

Posted on:2018-11-23Degree:MasterType:Thesis
Country:ChinaCandidate:Z C SongFull Text:PDF
GTID:2348330515955355Subject:Computer technology
Abstract/Summary:PDF Full Text Request
With the rapid development of wireless and mobile networks,mobile communication terminals become an essential tool for everyone,mobile education software has become increasingly popular,so provide a personalized exercise software to improve student learning efficiency and performance has been urgent.According to the study of student learning,a person's knowledge and ability can be divided into three districts,comfort zones,panic zones and learning areas.The comfort zone is the knowledge and ability which is familiar and mastered.The panic area is knowledge and ability which can not be understand by learning in the short term.The learning area is the knowledge and ability which can be understand by learning,if users can always practice in learning district,it can help users increase the score quickly,this is the system design theory.This system is composed of Android side of the exercise system and Web side of the service management system.Android side mainly provides users to practice the subject,Web side used SpringMVC framework to achieve the front of the service,and also implemented the exam and user management.Web side through theItem-Based Collaborative Filtering Recommendation Algorithms to achieve the user's personalized recommendation,after the practice,each user has their own history and the wrong record library,by calculating the average difficulty index of the subjects in record library,system can adjust the difficulty index of subject dynamic for users,and recommend user new subject which difficulty index had changed.This can help users learning in his own learning-zone.The system has been achieved the users login,registration,practice in Android side,and it can recommend subjects in practice function.Administrators can manage subjects and users by login in Web side,and achieved user personalized recommendations.
Keywords/Search Tags:Android side, Web side, SpringMVC, Personal Recommendation
PDF Full Text Request
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