Recommendation of Academic Papers based on Heterogeneous Information Networks

Nana Du, Jun Guo, Chase Q. Wu, Aiqin Hou, Zimin Zhao, Daguang Gan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The rapid advance in science and technology is made possible by research conduct and breakthroughs in a wide range of fields, which have resulted in a large number of academic papers. Searching through the enormous literature to find relevant information of one's research interest has become an increasingly important yet challenging problem for many researchers. Most existing methods for academic paper recommendation are based on the analysis of paper contents and only meet with limited success. We propose a novel method based on heterogeneous information networks for academic paper recommendation, referred to as HNPR. This method considers the citation relationship between papers, the collaboration relationship between authors, and the research area information of papers to construct two types of heterogeneous information networks. In such networks, a random walk-based strategy is used to simulate natural sentences for the discovery of relevance between two papers according to a mature natural language processing model. Extensive experimental results using real data in public digital libraries show that HNPR significantly improves the accuracy of academic paper recommendation in comparison with traditional content-based recommendation methods.

Original languageEnglish (US)
Title of host publication2020 IEEE/ACS 17th International Conference on Computer Systems and Applications, AICCSA 2020
PublisherIEEE Computer Society
ISBN (Electronic)9781728185774
DOIs
StatePublished - Nov 2020
Event17th IEEE/ACS International Conference on Computer Systems and Applications, AICCSA 2020 - Virtual, Antalya, Turkey
Duration: Nov 2 2020Nov 5 2020

Publication series

NameProceedings of IEEE/ACS International Conference on Computer Systems and Applications, AICCSA
Volume2020-November
ISSN (Print)2161-5322
ISSN (Electronic)2161-5330

Conference

Conference17th IEEE/ACS International Conference on Computer Systems and Applications, AICCSA 2020
CountryTurkey
CityVirtual, Antalya
Period11/2/2011/5/20

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Computer Science Applications
  • Hardware and Architecture
  • Signal Processing
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Keywords

  • academic paper recommendation
  • Heterogeneous information networks
  • natural language model
  • random walk

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