Wine Ontology Influence in a Recommendation System

Wine Ontology Influence in a Recommendation System

Wine is the second most popular alcoholic drink in the world behind beer. With the rise of e-commerce, recommendation systems have become a very important factor in the success of business. Recommendation systems analyze metadata to predict if, for example, a user will recommend a product. The metad...

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Bibliographic Details
Main Authors: Luís Oliveira, Rodrigo Rocha Silva, Jorge Bernardino
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Big Data and Cognitive Computing
Subjects:
wine ontology
Weka clustering algorithms
recommendation system
ontology influence
classification via clustering
machine learning
Online Access:https://www.mdpi.com/2504-2289/5/2/16

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