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This paper presents an analysis of social experiences around wine consumptionthrough the lens of Vivino, a social network for wine enthusiasts with over 26million users worldwide. We compare users' perceptions of various wine typesand regional styles across both New and Old World wines, examining them acrossprice ranges, vintages, regions, varietals, and blends. Among other things, wefind that ratings provided by Vivino users are not biased by cost. We thenstudy how wine characteristics, language in wine reviews, and the distributionof wine ratings can be combined to develop prediction models. Morespecifically, we model user behavior to develop a regression model forpredicting wine ratings, and a classifier for determining user reviewpreferences.

Of Wines and Reviews: Measuring and Modeling the Vivino Wine Social Network