Intelligent Food Recommendation Framework Based on Social Media Behavioral Data
Salma Almashjari, Heba Ismail · 2024
This research introduces an Intelligent Food Recommendation Framework leveraging social media Behavioral Data, explicitly focusing on Instagram. It posits that users' engagements with food-related content on Instagram offer insights into their food preferences, thereby enhancing the precision of food type recommendations. The investigation aims to substantiate this assertion through a thorough literature review, data source selection, comparison of food assessment surveys, exploration of image recognition methodologies, and deployment and validation of the proposed solution framework utilizing deep learning models. Through interdisciplinary efforts, the study seeks to advance personalized recommendation systems in the context of food consumption.