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Application of Intelligent Course Selection Recommendation System Based on IPv6

机译:基于IPv6的智能选课推荐系统的应用

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Aiming at the problem university students in the process of selecting course are blind and inefficiency because of a lack of course selection guide, based on the traditional collaborative filtering algorithm based on the similarity between the users, through the historical data of students' course selection, the personalized course recommendation of students can be realized. In this paper, by collecting and analyzing the students' courses selection data, comparing suitable recommendation algorithm, design and implement an Android applications running under IPv6 environment, to provide students with personalized course recommended, course management, personal information management services, improve the quality of course selection and the efficiency of the students.
机译:针对传统的基于用户间相似度的协同过滤算法,通过对学生选课的历史数据,缺乏选课指导,大学生在选课过程中盲目,效率低下的问题,可以实现学生的个性化课程推荐。本文通过收集和分析学生选课数据,比较合适的推荐算法,设计并实现在IPv6环境下运行的Android应用程序,为学生提供个性化的课程推荐,课程管理,个人信息管理服务,提高质量当然选择和学生的效率。

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