Recommender systems in the healthcare domain: state-of-the-art and research issues
Nowadays, a vast amount of clinical data scattered across different sites on the Internet
hinders users from finding helpful information for their well-being improvement. Besides, the …
hinders users from finding helpful information for their well-being improvement. Besides, the …
A survey on food computing
Food is essential for human life and it is fundamental to the human experience. Food-related
study may support multifarious applications and services, such as guiding human behavior …
study may support multifarious applications and services, such as guiding human behavior …
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 …
eating habits and achieve a healthier diet. This paper aims to develop a new hybrid food …
Mobility-aware computational offloading in mobile edge networks: a survey
Technological evolution of mobile devices, such as smart phones, laptops, wearable and
other handheld devices have come up with the emergence of different user applications in …
other handheld devices have come up with the emergence of different user applications in …
Realizing an efficient IoMT-assisted patient diet recommendation system through machine learning model
Recent studies have shown that robust diets recommended to patients by Dietician or an
Artificial Intelligent automated medical diet based cloud system can increase longevity …
Artificial Intelligent automated medical diet based cloud system can increase longevity …
A food recommender system considering nutritional information and user preferences
The World Health Organization identifies the overall increasing of noncommunicable
diseases as a major issue, such as premature heart diseases, diabetes, and cancer …
diseases as a major issue, such as premature heart diseases, diabetes, and cancer …
Learning cross-modal embeddings with adversarial networks for cooking recipes and food images
Food computing is playing an increasingly important role in human daily life, and has found
tremendous applications in guiding human behavior towards smart food consumption and …
tremendous applications in guiding human behavior towards smart food consumption and …
[HTML][HTML] An effective explainable food recommendation using deep image clustering and community detection
In food diet communication domain, images convey important information to capture users'
attention beyond the traditional ingredient content, making it crucial to influence user …
attention beyond the traditional ingredient content, making it crucial to influence user …
[HTML][HTML] Mature-food: Food recommender system for mandatory feature choices a system for enabling digital health
In order to deduce more appropriate and useful recommendation, it is imperative to
amalgamate additional information such as the features of the user and the item along with …
amalgamate additional information such as the features of the user and the item along with …
Food image-based nutritional management system to overcome polycystic Ovary Syndrome using DeepLearning: A systematic review
R Kaur, R Kumar, M Gupta - International Journal of Image and …, 2023 - World Scientific
Polycystic Ovary Syndrome (PCOS) is one of the growing non-communicable diseases in
those women who do not take proper nutrients in their meals. Medically, it is not proven that …
those women who do not take proper nutrients in their meals. Medically, it is not proven that …