AI-powered in the digital age: Ensemble innovation personalizes the food recommendations

AI-powered in the digital age: Ensemble innovation personalizes the food recommendations

This study proposes and evaluates a novel approach utilizing ensemble machine learning techniques for personalized meal services to address a critical gap in understanding AI-powered decision-making within the food delivery and restaurant industry. We draw inspiration from diverse fields, including...

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Bibliographic Details
Main Authors: Chairote Yaiprasert, Achmad Nizar Hidayanto
Format: Article
Language:English
Published: Elsevier 2024-06-01
Series:Journal of Open Innovation: Technology, Market and Complexity
Subjects:
Artificial intelligence (AI)
Machine learning (ML)
Food
Innovation
Business
Decision-Making
Online Access:http://www.sciencedirect.com/science/article/pii/S2199853124000556

Internet

http://www.sciencedirect.com/science/article/pii/S2199853124000556

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