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

Han Zhong*, Zhisheng Huang

*Corresponding author for this work

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

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Abstract

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.

Original languageEnglish
Title of host publicationHealth Information Science
Subtitle of host publication8th International Conference, HIS 2019, Xi'an, China, October 18–20, 2019, Proceedings
EditorsHua Wang, Siuly Siuly, Yanchun Zhang, Rui Zhou, Fernando Martin-Sanchez, Zhisheng Huang
PublisherSpringer
Pages108-118
Number of pages11
ISBN (Electronic)9783030329624
ISBN (Print)9783030329617
DOIs
Publication statusPublished - 2019
Event8th International Conference on Health Information Science, HIS 2019 - Xi'an, China
Duration: 18 Oct 201920 Oct 2019

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11837 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference8th International Conference on Health Information Science, HIS 2019
Country/TerritoryChina
CityXi'an
Period18/10/1920/10/19

Funding

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).

FundersFunder number
National Key Research and Development Plan2016YFC0801003
People?s Public Security University of China
Public Security University of China2019JKF334

    Keywords

    • Brain science
    • Interests
    • Recommendation
    • Semantic technology
    • User and co-author

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