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Research Papers Recommendation

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Analysis of Images, Social Networks and Texts (AIST 2021)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13217))

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Abstract

The work is devoted to academic papers recommendation task considered as link prediction on a static citation network. We compare several graph embeddings, text-based and fusion models in the link prediction problem on academic papers citation dataset. We showed that fusion models of graph and text information outperform other approaches based on graph or text information alone. We prove this via an extensive set of experiments with different train/test splits that our fusion models are robust and retain superior performance even with a reduced train set.

The article was prepared within the framework of the HSE University Basic Research Program.

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Notes

  1. 1.

    https://gephi.org.

  2. 2.

    https://github.com/Olga3993/Research-Papers-Recommendation.git.

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Author information

Authors and Affiliations

  1. HSE University, Moscow, Russia

    Olga Gerasimova, Anna Lapidus & Ilya Makarov

  2. University of Ljubljana, Ljubljana, Slovenia

    Ilya Makarov

  3. Artificial Intelligence Research Institute (AIRI), Moscow, Russia

    Ilya Makarov

Authors
  1. Olga Gerasimova
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  2. Anna Lapidus
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  3. Ilya Makarov
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Corresponding author

Correspondence to Olga Gerasimova .

Editor information

Editors and Affiliations

  1. Skolkovo Institute of Science and Technology, Moscow, Russia

    Evgeny Burnaev

  2. National Research University Higher School of Economics, Moscow, Russia

    Dmitry I. Ignatov

  3. Skolkovo Institute of Science and Technology, Moscow, Russia

    Sergei Ivanov

  4. Krasovskii Institute of Mathematics and Mechanics of Russian Academy of Sciences, Yekaterinburg, Russia

    Michael Khachay

  5. National Research University Higher School of Economics, St. Petersburg, Russia

    Olessia Koltsova

  6. University of Oslo, Oslo, Norway

    Andrei Kutuzov

  7. National Research University Higher School of Economics, Moscow, Russia

    Sergei O. Kuznetsov

  8. Lomonosov Moscow State University, Moscow, Russia

    Natalia Loukachevitch

  9. LORIA, Campus Scientifique, Vandœuvre lès Nancy, France

    Amedeo Napoli

  10. Skolkovo Institute of Science and Technology, Moscow, Russia

    Alexander Panchenko

  11. University of Florida, Gainesville, USA

    Panos M. Pardalos

  12. Aalto University, Espoo, Finland

    Jari Saramäki

  13. National Research University Higher School of Economics, Nizhny Novgorod, Russia

    Andrey V. Savchenko

  14. Yandex LLC, Moscow, Russia

    Evgenii Tsymbalov

  15. Kazan Federal University, Kazan, Russia

    Elena Tutubalina

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Gerasimova, O., Lapidus, A., Makarov, I. (2022). Research Papers Recommendation. In: Burnaev, E., et al. Analysis of Images, Social Networks and Texts. AIST 2021. Lecture Notes in Computer Science, vol 13217. Springer, Cham. https://doi.org/10.1007/978-3-031-16500-9_22

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  • DOI: https://doi.org/10.1007/978-3-031-16500-9_22

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-16499-6

  • Online ISBN: 978-3-031-16500-9

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