Wine recommendation algorithm based on partitioning and stacking integration strategy for Chinese wine consumers

This study tries to propose a wine recommendation algorithm based on partitioning and Stacking Integration Strategy for Chinese wine consumers. The approaches follow the idea of partitioning, decomposing traditional recommendation task into several subtasks according to wine attributes, using neural...

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Vydáno v:	Italian journal of food science Ročník 34; číslo 2; s. 98 - 109
Hlavní autoři:	Mu, Weisong, Feng, Yumeng, Shu, Haojie, Wang, Bo, Tian, Dong
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Pinerolo Codon Publications 01.01.2022
Témata:	Accuracy Algorithms Aroma Artificial intelligence Classification Consumers Customer satisfaction Customer services Decision trees Education Integration Machine learning Neural networks Packaging Partitioning Preferences Regression models Stacking Support vector machines Sweetness Variables Wines China
ISSN:	1120-1770, 1120-1770, 2239-5687
On-line přístup:	Získat plný text
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