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基于随机游走的就业推荐系统研究与实现 被引量:10

Design and Implementation of Job Recommendation System for Graduates Based on Random Walk
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摘要 目前,各高校的就业指导工作尚不完善,许多毕业生在求职初期缺乏目的性和针对性,在应聘并不适合自己的企业上耗费了大量的时间和精力,由此导致就业难度加大。在此情况下,我们设计开发了高校毕业生就业推荐系统。系统从大连理工大学就业实际工作出发,通过比较应届和往届毕业生基本特征,并结合基于随机游走模型的PageRank算法获得的各个企业的"求职指数",将招聘企业排序后推荐给每一名毕业生。通过测试,本系统功能上符合设计初衷,能够向毕业生推荐适合的企业,可以提升毕业生求职的针对性和目的性,并大大减少其在获取招聘信息上的时间投入。 For dealing with the imperfection of the guidance systems for employment in universities,a job recommendation system is designed and developed in this paper.By comparing the essential features between current and past graduates,the similarity can be calculated according to the relevance between graduates and enterprises.Using random walk algorithm,the index of being employed can be obtained.At last,according to the variables calculated above,the system can recommend suitable jobs for different graduates by putting enterprises in optimal order.Experimental results show that the system fits the purpose of design.
出处 《广西师范大学学报(自然科学版)》 CAS 北大核心 2011年第1期179-185,共7页 Journal of Guangxi Normal University:Natural Science Edition
基金 国家863高科技计划资助项目(2006AA01Z151) 国家自然科学基金资助项目(60673039 60973068) 国家社科基金资助项目(08BTQ025) 教育部留学回国人员科研启动基金 高等学校博士学科点专项科研基金资助课题(20090041110002)
关键词 随机游走 PAGERANK 就业推荐 random walk PageRank occupation recommending
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