A survey of recommendation systems: recommendation models, techniques, and application fields

H Ko, S Lee, Y Park, A Choi - Electronics, 2022 - mdpi.com
This paper reviews the research trends that link the advanced technical aspects of
recommendation systems that are used in various service areas and the business aspects of …

[HTML][HTML] Health recommender systems: systematic review

R De Croon, L Van Houdt, NN Htun, G Štiglic… - Journal of Medical …, 2021 - jmir.org
Background: Health recommender systems (HRSs) offer the potential to motivate and
engage users to change their behavior by sharing better choices and actionable knowledge …

Survey on the objectives of recommender systems: Measures, solutions, evaluation methodology, and new perspectives

B Alhijawi, A Awajan, S Fraihat - ACM Computing Surveys, 2022 - dl.acm.org
Recently, recommender systems have played an increasingly important role in a wide
variety of commercial applications to help users find favourite products. Research in the …

A multi-objective artificial bee colony approach for profit-aware recommender systems

JA Concha-Carrasco, MA Vega-Rodríguez… - Information Sciences, 2023 - Elsevier
Movie recommender systems are increasingly present in our daily lives, offering content of
interest from streaming providers. Objectives in addition to the liking probability can be …

[HTML][HTML] Drug recommendation system for diabetes using a collaborative filtering and clustering approach: development and performance evaluation

LF Granda Morales, P Valdiviezo-Diaz… - Journal of Medical …, 2022 - jmir.org
Background Diabetes is a public health problem worldwide. Although diabetes is a chronic
and incurable disease, measures and treatments can be taken to control it and keep the …

The quality and reliability analysis of YouTube videos about insulin resistance

T Barlas, DE Avci, B Cinici, H Ozkilicaslan… - International journal of …, 2023 - Elsevier
Aim There is an increasing trend in the use of internet as a search tool for health-related
informations. Insulin resistance is one of the most searched subjects online and some of the …

How recommender systems could support and enhance computer-tailored digital health programs: a scoping review

KL Cheung, D Durusu, X Sui, H de Vries - Digital health, 2019 - journals.sagepub.com
Objective Tailored digital health programs can promote positive health-related lifestyle
changes and have been shown to be (cost) effective in trials. However, such programs are …

Using ai–ml to augment the capabilities of social media for telehealth and remote patient monitoring

R Leung - Healthcare, 2023 - mdpi.com
Artificial intelligence (AI) and machine learning (ML) have revolutionized the way health
organizations approach social media. The sheer volume of data generated through social …

EmoWare: A context-aware framework for personalized video recommendation using affective video sequences

A Tripathi, TS Ashwin, RMR Guddeti - IEEE Access, 2019 - ieeexplore.ieee.org
With the exponential growth in areas of machine intelligence, the world has witnessed
promising solutions to the personalized content recommendation. The ability of interactive …

Review of machine learning and deep learning based recommender systems for health informatics

J Saha, C Chowdhury, S Biswas - Deep learning techniques for …, 2020 - Springer
Recommender Systems have become essential in personalized healthcare as they provide
meaningful information to the patients depending on the specific requirements and …