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European Conference on Information Retrieval

ECIR 2021: Advances in Information Retrieval pp 176–189Cite as

Valuation of Startups: A Machine Learning Perspective

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Part of the Lecture Notes in Computer Science book series (LNISA,volume 12656)

Abstract

We address the problem of startup valuation from a machine learning perspective with a focus on European startups. More precisely, we aim to infer the valuation of startups corresponding to the funding rounds for which only the raised amount was announced. To this end, we mine Crunchbase, a well-established source of information on companies. We study the discrepancy between the properties of the funding rounds with and without the startup’s valuation announcement and show that the Domain Adaptation framework is suitable for this task. Finally, we propose a method that outperforms, by a large margin, the approaches proposed previously in the literature.

Keywords

  • Predictive models
  • Domain adaptation
  • Startup valuation

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Notes

  1. 1.

    https://news.crunchbase.com/news/the-q4-eoy-2019-global-vc-report-a-strong-end-to-a-good-but-not-fantastic-year/.

  2. 2.

    https://berkonomics.com/?p=2752.

  3. 3.

    https://beta.companieshouse.gov.uk/.

  4. 4.

    https://github.com/garkavem/Company-House-SH01-Parsing.

  5. 5.

    The list of European countries, referred to as Europe and abbreviated as EU hereafter, is detailed in [1] for space reasons.

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Author information

Authors and Affiliations

  1. Univ. Grenoble Alpes/CNRS, Grenoble, France

    Mariia Garkavenko & Eric Gaussier

  2. Skopai, Grenoble, France

    Mariia Garkavenko, Hamid Mirisaee, Agnès Guerraz & Cédric Lagnier

Authors
  1. Mariia Garkavenko
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  2. Hamid Mirisaee
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  3. Eric Gaussier
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  4. Agnès Guerraz
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  5. Cédric Lagnier
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Corresponding author

Correspondence to Mariia Garkavenko .

Editor information

Editors and Affiliations

  1. Radboud University Nijmegen, Nijmegen, The Netherlands

    Djoerd Hiemstra

  2. Department of Computer Science, Katholieke Universiteit Leuven, Heverlee, Belgium

    Prof. Marie-Francine Moens

  3. Toulouse Institute of Computer Science Research, Toulouse, France

    Josiane Mothe

  4. Istituto di Scienza e Tecnologie dell’Informazione, Consiglio Nazionale delle Ricerche, Pisa, Italy

    Raffaele Perego

  5. Leipzig University, Leipzig, Germany

    Martin Potthast

  6. Istituto di Scienza e Tecnologie dell’Informazione, Consiglio Nazionale delle Ricerche, Pisa, Italy

    Fabrizio Sebastiani

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Garkavenko, M., Mirisaee, H., Gaussier, E., Guerraz, A., Lagnier, C. (2021). Valuation of Startups: A Machine Learning Perspective. In: Hiemstra, D., Moens, MF., Mothe, J., Perego, R., Potthast, M., Sebastiani, F. (eds) Advances in Information Retrieval. ECIR 2021. Lecture Notes in Computer Science(), vol 12656. Springer, Cham. https://doi.org/10.1007/978-3-030-72113-8_12

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  • DOI: https://doi.org/10.1007/978-3-030-72113-8_12

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