X-Wines: A Wine Dataset for Recommender Systems and Machine Learning

de Azambuja Rogerio Xavier; Morais A. Jorge; Filipe Vitor

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X-Wines: A Wine Dataset for Recommender Systems and Machine Learning

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In the current technological scenario of artificial intelligence growth, especially using machine learning, large datasets are necessary. Recommender systems appear with increasing frequency with different techniques for information filtering. Few large wine datasets are available for use with wine recommender systems. This work presents X-Wines, a new and consistent wine dataset containing 100,000 instances and 21 million real evaluations carried out by users. Data were collected on the open Web in 2022 and pre-processed for wider free use. They refer to the scale 1-5 ratings carried out over a period of 10 years (2012-2021) for wines produced in 62 different countries. A demonstration of some applications using X-Wines in the scope of recommender systems with deep learning algorithms is also presented.

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《Big Data and Cognitive Computing》 |2023年第1期|共18页
作者
de Azambuja Rogerio Xavier; Morais A. Jorge; Filipe Vitor;
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作者单位

Inst Fed Rio Grande Do Sul IFRS;

Univ Aberta UAb;

Univ Tras Os Montes & Alto Douro UTADLIAAD INESC TECINESC TEC INESC Tecnol & Ciencia;

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原文格式 PDF
正文语种英语
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关键词
big data; wine reviews; recommender systems; machine learning; deep learning;

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X-Wines: A Wine Dataset for Recommender Systems and Machine Learning

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