Paper Contents
Abstract
ABSTRACT:Recommender systems have become essential tools for helping online users navigate information overload in diverse search environments. In the context of food recognition, this application leverages food analysis to provide personalized suggestions for portion sizes and types of food.Users can confirm the accuracy of these suggestions, and if necessary, correct any inaccuracies, ensuring they adhere to their dietary needs throughout their treatment journey. Despite the advancements in this area, there remains a gap in comprehensive analyses specifically targeting food recommendation systems tailored for patient health.
Copyright
Copyright © 2025 Kavibharathi K. This is an open access article distributed under the Creative Commons Attribution License.
