Document recommendation based on interests of co-authors for brain science

  • Han ZhongEmail author
  • Zhisheng Huang


Personalized knowledge recommendation is an effective measure to provide individual information services in the field of brain science. It is essential that a complete understanding of authors’ interests and accurate recommendation are carried out to achieve this goal. In this paper, a collaborative recommendation method based on co-authorship is proposed to make. In our approach, analysis of collaborators’ interests and the calculation of collaborative value are used for recommendations. Finally, the experiments using real documents associated with brain science are given and provide supports for collaborative document recommendation in the field of brain science.


User and co-author Interests Recommendation Semantic technology Brain science 



The work is supported by the the JKF program of People’s Public Security University of China (2019JKF334), and the National Key Research and Development Plan (2016YFC0801003).


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© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.College of Information Technology and Network SecurityPeople’s Public Security University of ChinaBeijingChina
  2. 2.Knowledge Representation and Reasoning GroupVrije University AmsterdamAmsterdamThe Netherlands

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