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

In their paper "Of Wines and Reviews: Measuring and Modeling the Vivino Wine Social Network," authors Neema Kotonya, Paolo De Cristofaro, and Emiliano De Cristofaro present a comprehensive analysis of social experiences surrounding wine consumption using data from Vivino, a social network for wine enthusiasts with over 26 million users worldwide. The study compares user perceptions of various wine types and regional styles across both New and Old World wines, examining them across price ranges, vintages, regions, varietals, and blends. One notable finding is that ratings provided by Vivino users are not biased by cost. The authors also explore how wine characteristics, language in wine reviews, and the distribution of wine ratings can be combined to develop prediction models. Specifically, they model user behavior to develop a regression model for predicting wine ratings and a classifier for determining user review preferences. Overall, this paper provides valuable insights into the social experiences surrounding wine consumption through the lens of a large-scale social network. The findings have implications for both the wine industry and researchers interested in understanding consumer behavior in online communities. This research offers an in-depth exploration of how different factors influence user ratings on Vivino's platform as well as how these insights can be used to inform decision making within the industry.

Exploring the Vivino Wine Social Network: Insights from “Of Wines and Reviews”

In their paper “Of Wines and Reviews: Measuring and Modeling the Vivino Wine Social Network,” authors Neema Kotonya, Paolo De Cristofaro, and Emiliano De Cristofaro present a comprehensive analysis of social experiences surrounding wine consumption using data from Vivino, a social network for wine enthusiasts with over 26 million users worldwide. This research offers an in-depth exploration of how different factors influence user ratings on Vivino's platform as well as how these insights can be used to inform decision making within the industry.

Comparing User Perceptions Across New and Old World Wines

The study compares user perceptions of various wine types and regional styles across both New and Old World wines, examining them across price ranges, vintages, regions, varietals, and blends. One notable finding is that ratings provided by Vivino users are not biased by cost. The authors also explore how wine characteristics such as tannin levels or sweetness affect user ratings.

Modeling User Behavior

The authors also delve into how language in wine reviews can be combined with other factors to develop prediction models. Specifically, they model user behavior to develop a regression model for predicting wine ratings based on review text features (e.g., sentiment) as well as a classifier for determining user review preferences based on word choice (e.g., descriptors).

Implications for the Wine Industry

Overall, this paper provides valuable insights into the social experiences surrounding wine consumption through the lens of a large-scale social network. The findings have implications for both the wine industry and researchers interested in understanding consumer behavior in online communities. For example, winemakers may use these results to better understand customer preferences when creating new products or marketing campaigns while researchers may use them to gain further insight into consumer decision-making processes in digital environments such as online forums or review sites like Vivino.