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Citation Recommendation Chatbot for Professional Communities

  • Conference paper
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Collaboration Technologies and Social Computing (CollabTech 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14199))

  • 335 Accesses

Abstract

In recent years, the proliferation of academic literature has made it increasingly challenging for researchers and professionals to discover relevant citations for their work. To address this issue, this paper presents CitBot, a novel Citation Recommendation Chatbot designed specifically for professional communities. We describe the design, development, and evaluation of CitBot focusing on its performance and usefulness. CitBot combines the citation context with document-level embeddings utilizing SPECTER to generate personalized citation recommendations based on the community’s research interests. The system is designed to seamlessly integrate with online professional platforms, providing users with citation suggestions in response to their queries. A user study was conducted to assess the chatbot’s performance, comparing it to other citation recommendation tools. The findings of the study, along with a discussion of CitBot’s benefits and limitations, are presented. By enhancing the citation discovery process, CitBot has the potential to improve the productivity of professional communities and transform the way researchers and practitioners access and engage with scientific knowledge.

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Notes

  1. 1.

    https://dblp.org.

  2. 2.

    https://www.aminer.org.

  3. 3.

    https://github.com/rwth-acis/Social-Bot-Framework.

  4. 4.

    https://slack.com.

  5. 5.

    https://www.rocket.chat.

  6. 6.

    https://www.crossref.org/documentation/retrieve-metadata/rest-api/.

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Acknowledgements

The research leading to these results has been financially supported by the German Federal Ministry of Education and Research (BMBF) through the project “Personalisierte Kompetenzentwicklung und hybrides KI-Mentoring” (tech4compKI) with grant no. 16DHB2213.

Author information

Authors and Affiliations

  1. RWTH Aachen University, Aachen, Germany

    Alexander Tobias Neumann, Michal Slupczynski, Yue Yin, Chenyang Li & Stefan Decker

Authors
  1. Alexander Tobias Neumann
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  2. Michal Slupczynski
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  3. Yue Yin
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  4. Chenyang Li
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  5. Stefan Decker
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Corresponding authors

Correspondence to Alexander Tobias Neumann or Michal Slupczynski .

Editor information

Editors and Affiliations

  1. Ritsumeikan University, Shiga, Japan

    Hideyuki Takada

  2. Kyoto University of Advanced Science, Kyoto, Japan

    D. Moritz Marutschke

  3. Universidad de Los Andes, Las Condes, RM - Santiago, Chile

    Claudio Alvarez

  4. University of Tsukuba, Tsukuba, Japan

    Tomoo Inoue

  5. Ritsumeikan University, Ibaraki, Japan

    Yugo Hayashi

  6. Pompeu Fabra University, Barcelona, Spain

    Davinia Hernandez-Leo

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Neumann, A.T., Slupczynski, M., Yin, Y., Li, C., Decker, S. (2023). Citation Recommendation Chatbot for Professional Communities. In: Takada, H., Marutschke, D.M., Alvarez, C., Inoue, T., Hayashi, Y., Hernandez-Leo, D. (eds) Collaboration Technologies and Social Computing. CollabTech 2023. Lecture Notes in Computer Science, vol 14199. Springer, Cham. https://doi.org/10.1007/978-3-031-42141-9_4

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  • DOI: https://doi.org/10.1007/978-3-031-42141-9_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-42140-2

  • Online ISBN: 978-3-031-42141-9

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