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Rating prediction based job recommendation service for college students

  • Beihang University

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

When college students enter the job market, one of the main difficulties is that they do not have much working experience. To help students find proper jobs, appropriate recommendation systems are becoming a necessity. However, since most students start to find jobs in a very short time, it is difficult for a recommender system due to the lack of history information. To solve this problem, in this research we proposed a rating prediction mechanism by considering the feedback from graduates who have offers and also provided ratings to the employers. By calculating the similarity between the students, a rating prediction method is proposed to generate a list of potential employers for the students. Furthermore, we also take into account the factor of student’s interest into the recommendation list’s generation to further polish the overall performance. Experimental study on real recruitment dataset has shown the model’s potential.

源语言英语
主期刊名Computational Science and Its Applications - 16th International Conference, ICCSA 2016, Proceedings
编辑Sanjay Misra, Osvaldo Gervasi, Carmelo M. Torre, David Taniar, Elena Stankova, Ana Maria A.C. Rocha, Shangguang Wang, Beniamino Murgante, Bernady O. Apduhan
出版商Springer Verlag
453-467
页数15
ISBN(印刷版)9783319420912
DOI
出版状态已出版 - 2016
活动16th International Conference on Computational Science and Its Applications, ICCSA 2016 - Beijing, 中国
期限: 4 7月 20167 7月 2016

出版系列

姓名Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
9790
ISSN(印刷版)0302-9743
ISSN(电子版)1611-3349

会议

会议16th International Conference on Computational Science and Its Applications, ICCSA 2016
国家/地区中国
Beijing
时期4/07/167/07/16

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