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WineGraph: A Graph Representation for Food-Wine Pairing

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Neural-Symbolic Learning and Reasoning (NeSy 2024)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 14980))

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Abstract

We present WineGraph, an extended version of FlavorGraph, a heterogeneous graph incorporating wine data into its structure. This integration enables food-wine pairing based on taste and sommelier-defined rules. Leveraging a food dataset comprising 500,000 reviews and a wine reviews dataset with over 130,000 entries, we computed taste descriptors for both food and wine. This information was then utilised to pair food items with wine and augment FlavorGraph with additional data. The results demonstrate the potential of heterogeneous graphs to acquire supplementary information, proving beneficial for wine pairing.

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Notes

  1. 1.

    https://www.kaggle.com/datasets/snap/amazon-fine-food-reviews.

  2. 2.

    https://www.kaggle.com/datasets/roaldschuring/wine-reviews.

  3. 3.

    http://winearomawheel.com/.

  4. 4.

    https://towardsdatascience.com/robosomm-chapter-5-food-and-wine-pairing-7a4a4bb08e9e

  5. 5.

    https://academy.getbackbar.com/the-basics-wine-and-food-pairing.

  6. 6.

    https://cdn.courtofmastersommeliers.org/uploads/2022/11/Food-and-Wine-1.pdf.

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Authors and Affiliations

  1. Faculty of Computing and Telecommunications, Poznan University of Technology, Piotrowo 3, 60-965, Poznań, Poland

    Zuzanna Gawrysiak, Agata Żywot & Agnieszka Ławrynowicz

Authors
  1. Zuzanna Gawrysiak
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  2. Agata Żywot
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  3. Agnieszka Ławrynowicz
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Corresponding author

Correspondence to Zuzanna Gawrysiak .

Editor information

Editors and Affiliations

  1. Sony AI, Barcelona, Spain

    Tarek R. Besold

  2. City, University of London, London, UK

    Artur d’Avila Garcez

  3. City, University of London, London, UK

    Ernesto Jimenez-Ruiz

  4. University of Padova, Padova, Italy

    Roberto Confalonieri

  5. City, University of London, London, UK

    Pranava Madhyastha

  6. City, University of London, London, UK

    Benedikt Wagner

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

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Gawrysiak, Z., Żywot, A., Ławrynowicz, A. (2024). WineGraph: A Graph Representation for Food-Wine Pairing. In: Besold, T.R., d’Avila Garcez, A., Jimenez-Ruiz, E., Confalonieri, R., Madhyastha, P., Wagner, B. (eds) Neural-Symbolic Learning and Reasoning. NeSy 2024. Lecture Notes in Computer Science(), vol 14980. Springer, Cham. https://doi.org/10.1007/978-3-031-71170-1_3

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  • DOI: https://doi.org/10.1007/978-3-031-71170-1_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-71169-5

  • Online ISBN: 978-3-031-71170-1

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