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Azambuja, Rogério Xavier de, Morais, A. Jorge
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Azambuja, Rogério Xavier de, Morais, A. Jorge, Filipe, Vítor
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Título: X-Wines: a wine dataset for recommender systems and machine learning
Autor: Azambuja, Rogério Xavier de; Morais, A. Jorge; Filipe, Vítor
Resumo: 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.
Autor: Azambuja, Rogério Xavier de; Morais, A. Jorge; Filipe, Vítor
Resumo: 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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Título: X-Wines: a wine dataset for recommender systems and machine learning Autor: Azambuja, Rogério Xavier de; Morais, A. Jorge; Filipe, Vítor Resumo: 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.
Autor:
Azambuja, Rogério Xavier de, Morais, A. Jorge, Filipe, Vítor
Clica para continuares a ler...