With the exponential growth in the usage of social media to share live updates about life, taking pictures has become an unavoidable phenomenon. Individuals unknowingly create a unique knowledge base with these images. The food images, in particular, are of interest as they contain a plethora of information. From the image metadata and using computer vision tools, we can extract distinct insights for each user to build a personal profile. Using the underlying connection between cuisines and their inherent tastes, we attempt to develop such a profile for an individual based solely on the images of his food. Our study provides insights about an individual's inclination towards particular cuisines. Interpreting these insights can lead to the development of a more precise recommendation system. Such a system would avoid the generic approach in favor of a personalized recommendation system.

中文翻译：

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通过图像进行个性化的口味和烹饪偏好建模

随着社交媒体的使用呈指数级增长，以分享有关生活的实时更新，拍照已成为一种不可避免的现象。个人在不知不觉中用这些图像创建了一个独特的知识库。食物图像尤其令人感兴趣，因为它们包含大量信息。从图像元数据和使用计算机视觉工具，我们可以为每个用户提取不同的见解来构建个人资料。利用美食与其内在口味之间的潜在联系，我们试图仅根据食物的图像来为个人建立这样的形象。我们的研究提供了有关个人对特定美食的偏好的见解。解释这些见解可以导致开发更精确的推荐系统。