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WineGraph: A Graph Representation For Food-Wine Pairing

arXiv 2407.00107 ↗First posted 27 Jun 2024cs.LG cs.AIcited by 0

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Abstract (arXiv)

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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References · 3

  1. 2013Distributed Representations of Words and Phrases and their Compositionalitycited by 3,474
  2. 2016node2vec: Scalable Feature Learning for Networkscited by 1,918
  3. 2018Recipe1M+: A Dataset for Learning Cross-Modal Embeddings for Cooking Recipes and Food Imagescited by 118

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