Review of Citation Recommendation Research

  • Xie Ruixia ,
  • Ding Jingda ,
  • Liu Chao ,
  • Liu Jing
Expand
  • School of Cultural Heritage and Information Management, Shanghai University, Shanghai 200444

Received date: 2022-12-21

  Revised date: 2023-04-08

  Online published: 2023-07-06

Abstract

[Purpose/Significance] The relevant research on citation recommendation was sorted out to provide reference and reference for subsequent research [Method/Process] Firstly, the origin, definition and classification of citation recommendation were expounded. Secondly, according to different research data, various methods of citation recommendation in different types of data such as author relationship, content filtering, paper relationship and measurement index data were summarized. Finally, the application practice of deep learning technology in citation recommendation was reviewed. [Result/Conclusion] Based on the academic environment of big data and artificial intelligence, it looks forward to the possible development of citation recommendation in the future.

Cite this article

Xie Ruixia , Ding Jingda , Liu Chao , Liu Jing . Review of Citation Recommendation Research[J]. Library and Information Service, 2023 , 67(12) : 137 -148 . DOI: 10.13266/j.issn.0252-3116.2023.12.013

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