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Leveraging Vivino Experts Via Machine Learning · Study

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PreprintLeveraging Vivino Experts Via Machine Learning

SASHA F. STOIKOV2025

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Preprintgreen2025

Leveraging Vivino Experts Via Machine Learning

SASHA F. STOIKOV · Stefano Borzillo

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Wine Industry and Tourism Recommender Systems and Techniques Expert finding and Q&A systems

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References

2001The Color of Odors 2009Does Advertising Bias Product Reviews? An Analysis of Wine Ratings 2015Wine Tasters, Ratings, andEn PrimeurPrices 2020The environment and perceptions of wine consumers regarding quality, risk and value: Reputations of regional wines and restaurants 2016Wine experts’ rating: a matter of taste?2024Crowdsourcing the assessment of wine quality: Vivino ratings, professional critics, and the weather 2018Of Wines and Reviews: Measuring and Modeling the Vivino Wine Social Network 2016The preferences and prejudices of Australian wine critics

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2023Experience goods and the role of experts : recommendation effects on wine purchasing decisionthesis · 5 shared references 2023The role of customer and expert ratings in a hedonic analysis of French red wine prices: from gurus to geeks?article · 4 shared references 2025External evaluations under quality uncertainty: the market for wine ratingsarticle · 3 shared references 2017Essays in Empirical Economics on the Determination of Wine Pricesthesis · 3 shared references 2026Plebs to pros: a data-driven dive into 60 million wine reviewsarticle · 3 shared references 2019Uncovering the language of wine expertsarticle · 2 shared references

Details

Year2025

Typepreprint

Published2025-01-01

VenueSSRN Electronic Journal

ISSN-L1556-5068

Languageen

Citations0

Files0 public / 0

ShelfWine Industry and Tourism

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doi10.2139/ssrn.5241870

openalex_workW4410154145

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