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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Bibliographic Details
Published in:	Italian journal of food science Vol. 34; no. 2; pp. 98 - 109
Main Authors:	Mu, Weisong, Feng, Yumeng, Shu, Haojie, Wang, Bo, Tian, Dong
Format:	Journal Article
Language:	English
Published:	Pinerolo Codon Publications 01.01.2022
Subjects:	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
Online Access:	Get full text
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