论文标题
通过图像的个性化口味和美食偏好建模
Personalized Taste and Cuisine Preference Modeling via Images
论文作者
论文摘要
随着社交媒体使用以分享有关生活的实时更新的指数增长，拍照已成为不可避免的现象。个人在不知不觉中使用这些图像创建一个独特的知识库。尤其是食物图像引起了人们的关注，因为它们包含大量信息。从图像元数据并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以构建个人资料。使用美食与其固有的口味之间的基本联系，我们试图仅根据食物的形象为个人开发这样的个人资料。我们的研究提供了有关个人对特定美食的倾向的见解。解释这些见解会导致更精确的推荐系统的发展。这样的系统将避免使用通用的方法来支持个性化的推荐系统。
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.
