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A New Citation Recommendation Strategy Based on Term Functions in Related Studies Section Cover

A New Citation Recommendation Strategy Based on Term Functions in Related Studies Section

Journal of Data and Information Science
Volume 6 (2021): Issue 3 (June 2021)
By: Haihua Chen  
Open Access
|May 2021

Authors

Haihua Chen

Haihua.Chen@unt.edu

Department of Information Science, University of North Texas, Texas, USA
DOI: https://doi.org/10.2478/jdis-2021-0022 | Journal eISSN: 2543-683X | Journal ISSN: 2096-157X
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Language: English
Page range: 75 - 98
Submitted on: Nov 3, 2020
Accepted on: Apr 7, 2021
Published on: May 9, 2021
Published by: Chinese Academy of Sciences, National Science Library
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Citation recommendation,
Term function,
Citation context,
Related studies section,
BM25,
Word2vec
Related subjects:
Computer sciences,
Information technology,
Project management,
Databases and data mining

© 2021 Haihua Chen, published by Chinese Academy of Sciences, National Science Library
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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