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Knowledge Transfer from Resource-Rich to Resource-Scarce Environments

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Advances in Information Retrieval (ECIR 2024)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14612))

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Abstract

Resource-scarce environments have limited data, creating barriers and suboptimal experiences for users, while resource-rich environments are well-stocked with comprehensive information.

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References

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Author information

Authors and Affiliations

  1. Radboud University, Nijmegen, The Netherlands

    Negin Ghasemi

Authors
  1. Negin Ghasemi
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Corresponding author

Correspondence to Negin Ghasemi .

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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© 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG

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Ghasemi, N. (2024). Knowledge Transfer from Resource-Rich to Resource-Scarce Environments. In: Goharian, N., et al. Advances in Information Retrieval. ECIR 2024. Lecture Notes in Computer Science, vol 14612. Springer, Cham. https://doi.org/10.1007/978-3-031-56069-9_44

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  • DOI: https://doi.org/10.1007/978-3-031-56069-9_44

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-56068-2

  • Online ISBN: 978-3-031-56069-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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