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| Hauptverfasser: | , , |
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| Format: | Preprint |
| Veröffentlicht: |
2024
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| Schlagworte: | |
| Online-Zugang: | https://arxiv.org/abs/2407.00107 |
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| _version_ | 1866916319767560192 |
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| author | Gawrysiak, Zuzanna Żywot, Agata Ławrynowicz, Agnieszka |
| author_facet | Gawrysiak, Zuzanna Żywot, Agata Ławrynowicz, Agnieszka |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2407_00107 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | WineGraph: A Graph Representation For Food-Wine Pairing Gawrysiak, Zuzanna Żywot, Agata Ławrynowicz, Agnieszka Machine Learning Artificial Intelligence 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. |
| title | WineGraph: A Graph Representation For Food-Wine Pairing |
| topic | Machine Learning Artificial Intelligence |
| url | https://arxiv.org/abs/2407.00107 |