A Novel Time-Aware Food Recommender-System Based on Deep Learning and Graph Clustering

A Novel Time-Aware Food Recommender-System Based on Deep Learning and Graph Clustering

Food recommender-systems are considered an effective tool to help users adjust their eating habits and achieve a healthier diet. This paper aims to develop a new hybrid food recommender-system to overcome the shortcomings of previous systems, such as ignoring food ingredients, time factor, cold star...

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Bibliographic Details
Main Authors: Mehrdad Rostami, Mourad Oussalah, Vahid Farrahi
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Recommender-system
food recommendation
healthcare
deep learning
graph clustering
Online Access:https://ieeexplore.ieee.org/document/9775081/
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https://ieeexplore.ieee.org/document/9775081/

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