WineGraph: A Graph Representation For Food-Wine Pairing

TL;DR

WineGraph is a novel graph-based system that integrates food and wine data to improve food-wine pairing by leveraging taste descriptors and heterogeneous graph structures.

Contribution

The paper introduces WineGraph, an extended heterogeneous graph that incorporates wine data into FlavorGraph, enabling more effective food-wine pairing based on taste and expert rules.

Findings

Heterogeneous graphs can effectively incorporate additional food and wine data.

Taste descriptors are useful for pairing food with wine.

WineGraph improves food-wine pairing recommendations.

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.