Proceedings of the 2017 International Conference on Computational Science and Engineering (ICCSE 2017)

Design and Application of Personalized Recommendation Technology in Research Information Service of College and University

Authors
Qing-cong Zhao
Corresponding Author
Qing-cong Zhao
Available Online July 2017.
DOI
https://doi.org/10.2991/iccse-17.2017.26How to use a DOI?
Keywords
College and university, Personalized recommendation, Research information service
Abstract
With continuous progress and development of scientific research work in college and university, there are more and more scientific research results, including a variety of documents. In this paper, a personalized information service platform for scientific research in college and university was designed and applicated to solve the related research literature information management confusion and other issues in college and university. The study results showed that the system can support and provide personalized search services for users, change passive service to active recommendation, so as to help users to filter out valuable resources in the massive literature resources to meet the user's demand.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
2017 International Conference on Computational Science and Engineering(ICCSE 2017)
Part of series
Advances in Computer Science Research
Publication Date
July 2017
ISBN
978-94-6252-404-0
ISSN
2352-538X
DOI
https://doi.org/10.2991/iccse-17.2017.26How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Qing-cong Zhao
PY  - 2017/07
DA  - 2017/07
TI  - Design and Application of Personalized Recommendation Technology in Research Information Service of College and University
BT  - 2017 International Conference on Computational Science and Engineering(ICCSE 2017)
PB  - Atlantis Press
SP  - 148
EP  - 154
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccse-17.2017.26
DO  - https://doi.org/10.2991/iccse-17.2017.26
ID  - Zhao2017/07
ER  -