Article

Predicting Individual Food Valuation via Vision-Language Embedding Model

2025-03-29

Abstract excerpt

<p>Food preferences differ among individuals, and these variations reflect underlying personalities or mental tendencies. However, capturing and predicting these individual differences remains challenging. Here, we propose a novel method to predict individual food preferences by using CLIP (Contrastive Language-Image Pre-Training), which can capture both visual and semantic features of food images. By applying thi...

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Literature Corpus work: 31973e27-6c91-5648-9540-63ab82b3bade
DOI: 10.31234/osf.io/vkduq_v1

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