Personal Food Model
Ali Rostami, Vaibhav Pandey, Nitish Nag, Vesper Wang, Ramesh Jain

TL;DR
This paper introduces the Personal Food Model, a comprehensive digital representation of an individual's food preferences and biological responses, integrating multimedia data and a novel 6-dimensional taste-space to enhance personalized food recommendations.
Contribution
It presents a person-centric, multimodal framework combining multimedia, biological data, and a new taste-space for personalized food modeling and recommendation systems.
Findings
Development of a 6-dimensional taste-space for culinary characterization
Integration of multimedia and biological data for personalized food modeling
Use of event mining to relate food to biological and life events
Abstract
Food is central to life. Food provides us with energy and foundational building blocks for our body and is also a major source of joy and new experiences. A significant part of the overall economy is related to food. Food science, distribution, processing, and consumption have been addressed by different communities using silos of computational approaches. In this paper, we adopt a person-centric multimedia and multimodal perspective on food computing and show how multimedia and food computing are synergistic and complementary. Enjoying food is a truly multimedia experience involving sight, taste, smell, and even sound, that can be captured using a multimedia food logger. The biological response to food can be captured using multimodal data streams using available wearable devices. Central to this approach is the Personal Food Model. Personal Food Model is the digitized representation…
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