【24h】

Who Should Be My Co-Author? Recommender System to Suggest a List of Collaborators

机译:谁应该是我的合著者?推荐系统建议合作者名单

获取原文
获取原文并翻译 | 示例

摘要

Recommender systems have evolved for last few decades and now are an integral part of fairly every field available out there. On the contrary, many efforts need to put forward in the area of research as it is the backbone of any technological growth and uplift of modern society. Individual Researchers could have a high impact of their scientific research building a team of collaborators who bring up their skill set to enhance the quality of contribution. An individual could have an idea of different aspects but can't be an expert in every field. Hence a competent team up is required. To find a qualified contributor with the field knowledge and level of expertise is a quite a tedious task and needs a ton of precious time of the researcher to find the best match contributor for his research. This paper proposes a recommender system that generates a list of authors based on the correlation between researcher, authors with the similar field, taking into account their existing related publications to compute the skills required by a researcher for his next publication.
机译:推荐器系统已经发展了几十年,现在已经成为几乎每个领域不可或缺的一部分。相反,由于它是任何技术发展和现代社会进步的支柱,因此在研究领域需要做出许多努力。建立一个由协作者组成的团队,他们可以发挥自己的技能以提高贡献质量,从而对科研人员产生重大影响。一个人可能有不同方面的想法,但不能成为每个领域的专家。因此,需要有能力的团队。要找到具有领域知识和专业水平的合格贡献者是一项非常繁琐的任务,需要大量的研究者宝贵时间才能为其研究找到最佳匹配贡献者。本文提出了一个推荐系统,该系统基于研究人员和具有相似领域的作者之间的相关性,生成作者列表,并考虑他们现有的相关出版物,以计算研究人员下一次发表论文所需的技能。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号