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计算机工程 ›› 2013, Vol. 39 ›› Issue (2): 12-17. doi: 10.3969/j.issn.1000-3428.2013.02.003

• 专栏 • 上一篇    下一篇

基于论文共同作者学术关系的学者推荐系统

邓少伟 1,2,罗 泽 1,李树仁 1,阎保平 1   

  1. (1. 中国科学院计算机网络信息中心,北京 100190;2. 中国科学院研究生院,北京 100049)
  • 收稿日期:2012-02-06 修回日期:2012-03-12 出版日期:2013-02-15 发布日期:2013-02-13
  • 作者简介:邓少伟(1987-),男,硕士研究生,主研方向:数据挖掘,e-Science应用示范;罗 泽,副研究员、博士;李树仁,高级工程师、硕士;阎保平,研究员、博士
  • 基金资助:

    CNIC创新基金资助项目“基于本体的科学家资源服务平台SRSP研制”(CNIC_CX_10003)

Scholar Recommendation System Based on Academic Relationship of Thesis Co-authors

DENG Shao-wei 1,2, LUO Ze 1, LI Shu-ren 1, YAN Bao-ping 1   

  1. (1. Computer Network Information Center, Chinese Academy of Sciences, Beijing 100190, China; 2. Graduate University of Chinese Academy of Sciences, Beijing 100049, China)
  • Received:2012-02-06 Revised:2012-03-12 Online:2013-02-15 Published:2013-02-13

摘要:

为使用户能够准确、高效地查找出关联的科研人员、学科知识及研究领域等相关信息,提出一种基于论文共同作者学术关系的推荐系统。该推荐系统应用科研人员所著论文的关键词对科研人员进行建模,突出科研人员与研究领域之间的关联,通过论文共同作者等学术关系计算科研人员之间的相似度以进行推荐。实验结果证明,与未应用学术关系的普通方法相比,该推荐系统的精准度能提高5%左右。

关键词: 学术关系, 共同作者, 社会化推荐, 推荐技术, 相似度计算

Abstract:

In order to help people find researchers, knowledge and fields of study more accurately and efficiently, this paper designs and develops a recommendation system based on the academic relationship of researchers like co-authors relationship. It models the researcher using the keywords in the papers that the researcher has authored, and uses the academic relationship of co-authors in papers to calculate the similarity to other researchers and recommend researchers. Experimental result verifies that compared with the method without considering the academic relationship, the precision can be increased by 5% or more.

Key words: academic relationship, co-authors, social recommendation, recommendation technology, similarity computation

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