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

Han Zhong; Zhisheng Huang

doi:10.1007/978-3-030-32962-4_11

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 proceeding › Conference contribution › Academic › peer-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 language	English
Title of host publication	Health Information Science
Subtitle of host publication	8th International Conference, HIS 2019, Xi'an, China, October 18–20, 2019, Proceedings
Editors	Hua Wang, Siuly Siuly, Yanchun Zhang, Rui Zhou, Fernando Martin-Sanchez, Zhisheng Huang
Publisher	Springer
Pages	108-118
Number of pages	11
ISBN (Electronic)	9783030329624
ISBN (Print)	9783030329617
DOIs	https://doi.org/10.1007/978-3-030-32962-4_11
Publication status	Published - 2019
Event	8th International Conference on Health Information Science, HIS 2019 - Xi'an, China Duration: 18 Oct 2019 → 20 Oct 2019

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	11837 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	8th International Conference on Health Information Science, HIS 2019
Country/Territory	China
City	Xi'an
Period	18/10/19 → 20/10/19

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).

Funders	Funder number
National Key Research and Development Plan	2016YFC0801003
People?s Public Security University of China
Public Security University of China	2019JKF334

Keywords

Brain science
Interests
Recommendation
Semantic technology
User and co-author

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-3-030-32962-4_11

Document Recommendation Based on Interests of Co-authors for Brain ScienceFinal published version, 628 KBLicence: Article 25fa Dutch Copyright Act

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Zhong, H., & Huang, Z. (2019). Document recommendation based on interests of co-authors for brain science. In H. Wang, S. Siuly, Y. Zhang, R. Zhou, F. Martin-Sanchez, & Z. Huang (Eds.), Health Information Science: 8th International Conference, HIS 2019, Xi'an, China, October 18–20, 2019, Proceedings (pp. 108-118). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11837 LNCS). Springer. https://doi.org/10.1007/978-3-030-32962-4_11

Zhong, Han ; Huang, Zhisheng. / Document recommendation based on interests of co-authors for brain science. Health Information Science: 8th International Conference, HIS 2019, Xi'an, China, October 18–20, 2019, Proceedings. editor / Hua Wang ; Siuly Siuly ; Yanchun Zhang ; Rui Zhou ; Fernando Martin-Sanchez ; Zhisheng Huang. Springer, 2019. pp. 108-118 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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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{\textquoteright} 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{\textquoteright} 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.",

keywords = "Brain science, Interests, Recommendation, Semantic technology, User and co-author",

author = "Han Zhong and Zhisheng Huang",

year = "2019",

doi = "10.1007/978-3-030-32962-4_11",

language = "English",

isbn = "9783030329617",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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editor = "Hua Wang and Siuly Siuly and Yanchun Zhang and Rui Zhou and Fernando Martin-Sanchez and Zhisheng Huang",

booktitle = "Health Information Science",

note = "8th International Conference on Health Information Science, HIS 2019 ; Conference date: 18-10-2019 Through 20-10-2019",

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Zhong, H & Huang, Z 2019, Document recommendation based on interests of co-authors for brain science. in H Wang, S Siuly, Y Zhang, R Zhou, F Martin-Sanchez & Z Huang (eds), Health Information Science: 8th International Conference, HIS 2019, Xi'an, China, October 18–20, 2019, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11837 LNCS, Springer, pp. 108-118, 8th International Conference on Health Information Science, HIS 2019, Xi'an, China, 18/10/19. https://doi.org/10.1007/978-3-030-32962-4_11

Document recommendation based on interests of co-authors for brain science. / Zhong, Han; Huang, Zhisheng.
Health Information Science: 8th International Conference, HIS 2019, Xi'an, China, October 18–20, 2019, Proceedings. ed. / Hua Wang; Siuly Siuly; Yanchun Zhang; Rui Zhou; Fernando Martin-Sanchez; Zhisheng Huang. Springer, 2019. p. 108-118 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11837 LNCS).

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

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AU - Huang, Zhisheng

PY - 2019

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N2 - 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.

AB - 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.

KW - Brain science

KW - Interests

KW - Recommendation

KW - Semantic technology

KW - User and co-author

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Zhong H, Huang Z. Document recommendation based on interests of co-authors for brain science. In Wang H, Siuly S, Zhang Y, Zhou R, Martin-Sanchez F, Huang Z, editors, Health Information Science: 8th International Conference, HIS 2019, Xi'an, China, October 18–20, 2019, Proceedings. Springer. 2019. p. 108-118. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). Epub 2019 Oct 8. doi: 10.1007/978-3-030-32962-4_11

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

Abstract

Publication series

Conference

Funding

Keywords

UN SDGs

Access to Document

Persistent URL (handle)

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