UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

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

Kotonya, N; Cristofaro, PD; Cristofaro, ED; (2018) Of Wines and Reviews: Measuring and Modeling the Vivino Wine Social Network. In: 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM). (pp. pp. 387-392). IEEE Green open access

[img]
Preview
Text
no_comments.pdf - Accepted version

Download (1MB) | Preview

Abstract

This paper presents an analysis of social experiences around wine consumption through the lens of Vivino, a social network for wine enthusiasts with over 26 million active users worldwide. We compare users' perceptions of various wine types and regional styles across both New and Old World wines, examining wines across price ranges, vintages, regions, varietals, and blends. We find that ratings provided by Vivino users are not biased by the cost of the wines. Then, we study how wine characteristics, language in wine reviews, and the distribution of wine ratings can be combined to develop prediction and recommendation models. More specifically, we model user behavior to develop three models: (1) a regression model for predicting wine ratings, (2) a classifier for determining user review preferences, and (3) a recommender system for suggesting wines based on history of ratings and reviews.

Type: Proceedings paper
Title: Of Wines and Reviews: Measuring and Modeling the Vivino Wine Social Network
Event: 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), 28-31 August 2018, Barcelona, Spain
ISBN-13: 978-1-5386-6051-5
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/ASONAM.2018.8508776
Publisher version: https://doi.org/10.1109/ASONAM.2018.8508776
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Wineries , Predictive models , Twitter , Biological system modeling , Crawlers , Analytical models
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/10054622
Downloads since deposit
48Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item