A citation-based recommender system for scholarly paper recommendation

Khalid Haruna*, Maizatul Akmar Ismail, Abdullahi Baffa Bichi, Victor Chang, Sutrisna Wibawa, Tutut Herawan

*Corresponding author for this work

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

7 Citations (Scopus)

Abstract

Several approaches have been proposed to help researchers in acquiring relevant and useful scholarly papers from the enormous amount of information (information overload) that is available over the internet. The significant challenge for those approaches is their assumption of the availability of the whole contents of each of the candidate recommending papers to be freely accessible, which is not always the case considering the copyright restrictions. Also, they immensely depend on priori user profiles, which required a significant number of registered users for the systems to work effectively, and a stumbling block for the creation of a new recommendation system. This paper proposes a citation-based recommender system based on the latent relations connecting research papers for the scholarly paper recommendation. The novelty of the proposed approach is that unlike the existing works, the latent associations that exist between a scholarly paper and its various citations are utilised. The proposed approach aimed to personalise scholarly recommendations regardless of the user expertise and research fields based on paper-citation relations. Experimental results have shown significant improvement over other baseline methods.

Original languageEnglish
Title of host publicationComputational Science and Its Applications – ICCSA 2018 - 18th International Conference, 2018, Proceedings
EditorsElena Stankova, Ana Maria Rocha, David Taniar, Osvaldo Gervasi, Eufemia Tarantino, Sanjay Misra, Bernady O. Apduhan, Yeonseung Ryu, Beniamino Murgante, Carmelo M. Torre
PublisherSpringer Verlag
Pages514-525
Number of pages12
ISBN (Print)9783319951614
DOIs
Publication statusPublished - 2018
Event18th International Conference on Computational Science and Its Applications, ICCSA 2018 - Melbourne, Australia
Duration: 2 Jul 20185 Jul 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10960 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference18th International Conference on Computational Science and Its Applications, ICCSA 2018
Country/TerritoryAustralia
CityMelbourne
Period2/07/185/07/18

Keywords

  • Contextual information
  • Paper-citation relations
  • Publicly available metadata
  • Recommender system

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