基于大数据的社团个性化推荐系统

A System for Personalized Recommendation of Clubs Based on Big Data

高校的学生社团推广工作一直都是费时、费力的工作,大多数社团的推广大多依赖于社团人员发传单和一个个教室的信息发布,这样对于社团和活动的推广极为不理想。为此,寻找一个高效的社团推广方式必不可少。为此笔者研究了社团个性化推荐系统,提高学生对校园社团资源使用的效果和效率。该系统借鉴个性化推荐和大数据的信息处理思想,提出了社团个性化推荐的研究课题。通过个性化推荐系统,实现高校众多社团的信息个性化推荐工作,彻底改变校园社团学生关注量少的现状。

Extending students' clubs can often cost too much time and energy, for most of it relies on handing out leaflets and delivering information in classrooms. However, it is not very helpful, especially on the promotion of clubs and their activities. So,an effective way of promoting clubs is needed now. For that matter, we have developed a system for personalized recommendation of clubs to help students better use the resources of students' clubs. The system relies on personalized recommendation and the technique of big data processing. Through this system, we can made it possible to personally recommend clubs for college students and totally change the situation that students do not pay much attention to students' clubs.