A Review and Research Panorama on Food Recommender System Based on Health Care

Authors

  • Gamini Dhiman Punjabi University, Patiala (Punjab)India
  • Gaurav Gupta Punjabi University, Patiala (Punjab)India
  • Brahmaleen K. Sidhu Punjabi University, Patiala (Punjab)India

Keywords:

Recommender system, diet and recipe, food recommender system, Health and nutrition, Content Based Filtering, Collaborative Filtering, Information Retrieval, Machine Learning

Abstract

In recent years, food recommendation systems have garnered increasing attention due to their pivotal role in promoting healthy lifestyles. Much of the current research in the food industry is dedicated to devising strategies for recommending suitable food products based on user preferences, health considerations, or a combination of both. These systems offer users the ability to not only receive personalized food recommendations but also to monitor their nutritional intake, encouraging them to make constructive changes to their dietary habits. This paper aims to provide a comprehensive overview of various recommender systems in the domain of recipe recommendation. Furthermore, it conducts a systematic review of the diverse contributions made in the field of food and diet recommender systems, considering user preferences, health factors, or a fusion of both. Additionally, the paper delves into the research challenges faced, the datasets employed, and the methodologies applied in the development of these food recommender systems

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References

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Published

23.02.2024

How to Cite

Dhiman, G. ., Gupta, G. ., & Sidhu, B. K. . (2024). A Review and Research Panorama on Food Recommender System Based on Health Care. International Journal of Intelligent Systems and Applications in Engineering, 12(17s), 409–422. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/4890

Issue

Vol. 12 No. 17s (2024)

Section

Research Article

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