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Interactive Topic Tagging in Community Question Answering Platforms

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Advances in Information Retrieval (ECIR 2024)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14610))

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Abstract

Community question-answering platforms offer new opportunities for users to share knowledge online. Such platforms allow building communities around areas of interest, and enable community members to post questions and have other members answer them. In this paper, we investigate a novel, interactive approach for tagging input questions with relevant topics, which are needed by community question-answering platforms for various tasks such as indexing and routing. Iteratively, we employ explicit feedback from the users who post questions to fine-tune further the tag suggestions for those questions. We show that our proposed method is able to suggest tags efficiently, and outperforms state-of-the-art methods applied to the tag suggestion task.

The research was conducted during an internship at Microsoft Research in the summer of 2022.

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Notes

  1. 1.

    https://archive.org/download/stackexchange.

  2. 2.

    https://chemistry.stackexchange.com.

  3. 3.

    https://aviation.stackexchange.com.

  4. 4.

    https://history.stackexchange.com.

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Authors and Affiliations

  1. Toronto Metropolitan University, Toronto, ON, Canada

    Radin Hamidi Rad

  2. Microsoft Research, Redmond, WA, USA

    Silviu Cucerzan, Nirupama Chandrasekaran & Michael Gamon

Authors
  1. Radin Hamidi Rad
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  2. Silviu Cucerzan
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  3. Nirupama Chandrasekaran
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  4. Michael Gamon
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Corresponding author

Correspondence to Radin Hamidi Rad .

Editor information

Editors and Affiliations

  1. Georgetown University, Washington, WA, USA

    Nazli Goharian

  2. University of Pisa, PISA, Pisa, Italy

    Nicola Tonellotto

  3. King's College London, London, UK

    Yulan He

  4. University College London, London, UK

    Aldo Lipani

  5. University of Glasgow, Glasgow, UK

    Graham McDonald

  6. University of Glasgow, Glasgow, UK

    Craig Macdonald

  7. University of Glasgow, Glasgow, UK

    Iadh Ounis

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Hamidi Rad, R., Cucerzan, S., Chandrasekaran, N., Gamon, M. (2024). Interactive Topic Tagging in Community Question Answering Platforms. In: Goharian, N., et al. Advances in Information Retrieval. ECIR 2024. Lecture Notes in Computer Science, vol 14610. Springer, Cham. https://doi.org/10.1007/978-3-031-56063-7_13

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  • DOI: https://doi.org/10.1007/978-3-031-56063-7_13

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