摘要
高校学生的综合素质是影响高校毕业生就业的一个关键因素,高校社团是素质教育的一个重要途径,可以提高高校学生职业规划意识和职业素养。如何让新入学的高校新生选择合适的社团,是本文需要研究解决的问题。从用户的角度出发,推荐系统可有效地帮助用户做出决策。本文把学生的相似度计算、K-中心点算法聚类分析以及招收指数结合在一起,最终得到社团的推荐排序值,并将其推荐给新生用户。本系统能够实现为新生推荐社团服务,具有一定的应用价值。
Comprehensive quality of students is a key factor affecting the employment of graduates.University community is an important way of quality education by which college students can raise their awareness of career planning and professionalism.This paper focused on how college students can elect their own communities.From the user＇s point of view,the recommending system can effectively help users make decisions.In this paper,the calculation of the similarity of the students,K-Means clustering analysis and recruit indices were combined to obtain the recommended ordering value of community,which was then recommended to freshmen.The system can provide community service for freshmen.
出处
《计算技术与自动化》
2016年第2期81-84,共4页
Computing Technology and Automation
