Academic User Interest Extraction using Multi-feature TextRank Based on Interest Attenuation-Reference-Cited by-同舟云学术

Academic User Interest Extraction using Multi-feature TextRank Based on Interest Attenuation

Published:2022-08-26 Issue: Volume: Page:
ISSN:
Container-title:2022 the 5th International Conference on Information Management and Management Science
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Author:

Zhang Jie¹,Du Ruopeng¹,Zhu Liang¹,Kou Yuantao¹

Affiliation:

1. Agricultural Information Institute of Chinese Academy of Agricultural Sciences, China

Funder

Central Public-interest Scientific Institution Basal Research Fund

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3564858.3564872

Reference15 articles.

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3. Pan , S. , Li , Z. , and Dai , J . 2019.An improved TextRank keywords extraction algorithm . In Proceedings of the ACM Turing Celebration Conference-China(May 2019 ), 1 - 7 . Pan, S., Li, Z., and Dai, J.2019.An improved TextRank keywords extraction algorithm. In Proceedings of the ACM Turing Celebration Conference-China(May 2019),1-7.

4. Niu Yongjie and Jiang Ning. 2020.Research on influence factors of keyword extraction algorithm TextRank.Electronic Design Engineering 28(12) 1-5. Niu Yongjie and Jiang Ning. 2020.Research on influence factors of keyword extraction algorithm TextRank.Electronic Design Engineering 28(12) 1-5.

5. Shouzhong T. and Minlie H. 2016.Mining microblog user interests based on TextRank with TF-IDF factor.The Journal of China Universities of Posts and Telecommunications 23(5) 40-46. Shouzhong T. and Minlie H. 2016.Mining microblog user interests based on TextRank with TF-IDF factor.The Journal of China Universities of Posts and Telecommunications 23(5) 40-46.