WineSensed uses artificial intelligence to predict taste preferences
• Researchers have taught an algorithm to ‘taste’. An AI trained on human taste preferences accurately predicts individuals’ liking for specific wines.
• The team combined data from tastings in which 256 participants grouped samples to reflect similarities in flavour with label information and consumer reviews to create their new algorithm.
• Their novel approach, which could easily be applied to other products, notably coffee and beer, also has potential in healthcare where it could be used to recommend food products and recipes adapted to the taste preferences of individual patients.
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• The team combined data from tastings in which 256 participants grouped samples to reflect similarities in flavour with label information and consumer reviews to create their new algorithm.
• Their novel approach, which could easily be applied to other products, notably coffee and beer, also has potential in healthcare where it could be used to recommend food products and recipes adapted to the taste preferences of individual patients.
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