[HTML][HTML] A novel healthy and time-aware food recommender system using attributed community detection

M Rostami, V Farrahi, S Ahmadian, SMJ Jalali… - Expert Systems with …, 2023 - Elsevier
Food recommendation systems aim to provide recommendations according to a user's diet,
recipes, and preferences. These systems are deemed useful for assisting users in changing …

RDERL: Reliable deep ensemble reinforcement learning-based recommender system

M Ahmadian, S Ahmadian, M Ahmadi - Knowledge-Based Systems, 2023 - Elsevier
Recommender systems (RSs) have been employed for many real-world applications
including search engines, social networks, and information retrieval systems as powerful …

Attribute-sensitive community search over attributed heterogeneous information networks

J Wang, L Zhou, X Wang, L Wang, S Li - Expert Systems with Applications, 2024 - Elsevier
Community search (CS) over attributed heterogeneous information networks (AHINs) takes
both network structure and attributes of nodes into consideration, which can support …

[HTML][HTML] A novel healthy food recommendation to user groups based on a deep social community detection approach

M Rostami, K Berahmand, S Forouzandeh… - Neurocomputing, 2024 - Elsevier
Existing food recommendation models have typically suggested foods or recipes to single
users. However, in reality, users may be members of a group, family, or community, requiring …

A hybrid recommendation algorithm for green food based on review text and review time

H Geng, W Peng, XG Shan, C Song - CyTA-Journal of Food, 2023 - Taylor & Francis
Green food is well-known for its health benefits, environmental-friendliness, and safety.
Current recommender systems used by e-commerce websites usually recommend products …

A Systematic Literature Review of Food Recommender Systems

P Mahajan, PD Kaur - SN Computer Science, 2024 - Springer
The enormous variations in food choices and lifestyle in today's world have given rise to the
demand of using recommender system as a suitable tool in making appropriate food …

Comparative study on post-workout meal recommender systems using machine learning algorithms

S Kumar, SK Sahani - 2023 5th International Conference on …, 2023 - ieeexplore.ieee.org
The abundance of options for post-workout healthy meal recommendations can be
overwhelming, it becomes crucial to streamline, prioritize, and effectively provide pertinent …