English

Mining and searching association relation of scientific papers based on deep learning

Digital Libraries 2022-04-26 v1 Information Retrieval

Abstract

There is a complex correlation among the data of scientific papers. The phenomenon reveals the data characteristics, laws, and correlations contained in the data of scientific and technological papers in specific fields, which can realize the analysis of scientific and technological big data and help to design applications to serve scientific researchers. Therefore, the research on mining and searching the association relationship of scientific papers based on deep learning has far-reaching practical significance.

Keywords

Cite

@article{arxiv.2204.11488,
  title  = {Mining and searching association relation of scientific papers based on deep learning},
  author = {Jie Song and Meiyu Liang and Zhe Xue and Feifei Kou and Ang Li},
  journal= {arXiv preprint arXiv:2204.11488},
  year   = {2022}
}

Comments

10 pages

R2 v1 2026-06-24T10:57:27.889Z