计算机与数字工程2017，Vol.45Issue(2)：201-205,253,6.DOI:10.3969/j.issn.1672-9722.2017.02.002
基于兴趣敏感度的高校毕业生就业推荐算法
Recommendation Algorithm of College Graduates Employment Based on the Sensitivity of Interest
摘要
Abstract
The number of college graduates has increased in recent years.The problem of college graduates' employment has attracted more and more attention of scholars and the society.The traditional methods of job recommendtion usually lack of considering and utilizing the historical information of graduates.In this paper, a recommendation algorithm is proposed, which is based on the sensitivity of interest.firstly, the algorithm makes full use of employment data and improves PersonalRank method to calculate the sensitivity of interrest of different enterprises when they recruit graduates.Then, improves similarity calculation method between the graduates and previous graduates.Finally, the job of the similar previous students are recommended to the current user by combineing with the credibility of enterprises.Experimental results show that the algorithm can provide a guidance for the new graduates effectively.关键词
推荐系统/就业推荐/历史信息/兴趣敏感度/相似度Key words
recommender system/job recommendation/the historical information/the sensitivity of interest/similarity分类
信息技术与安全科学引用本文复制引用
金连旭,王洪国,丁艳辉,张骏..基于兴趣敏感度的高校毕业生就业推荐算法[J].计算机与数字工程,2017,45(2):201-205,253,6.基金项目
国家自然科学基金青年项目(编号:61303007) （编号:61303007）
山东优秀中青年科学家科研奖励基金(编号:BS2013DX044)资助. （编号:BS2013DX044）
