[HTML][HTML] A systematic review on food recommender systems

JN Bondevik, KE Bennin, Ö Babur, C Ersch - Expert Systems with …, 2024 - Elsevier
The Internet has revolutionised the way information is retrieved, and the increase in the
number of users has resulted in a surge in the volume and heterogeneity of available data …

Current and future applications of artificial intelligence in surgery: implications for clinical practice and research

MX Morris, D Fiocco, T Caneva, P Yiapanis… - Frontiers in …, 2024 - frontiersin.org
Surgeons are skilled at making complex decisions over invasive procedures that can save
lives and alleviate pain and avoid complications in patients. The knowledge to make these …

CoBERT: A Contextual BERT model for recommending employability profiles of information technology students in unstable developing countries

HN Mpia, LW Mburu, SN Mwendia - Engineering Applications of Artificial …, 2023 - Elsevier
Unemployment constitutes one of the major problems in developing countries, with factors
such as unavailable skills and the proliferation of unskilled workers being cited as main …

Recommendation systems: An insight into current development and future research challenges

M Marcuzzo, A Zangari, A Albarelli… - IEEE Access, 2022 - ieeexplore.ieee.org
Research on recommendation systems is swiftly producing an abundance of novel methods,
constantly challenging the current state-of-the-art. Inspired by advancements in many …

[HTML][HTML] A machine learning algorithm for personalized healthy and sustainable grocery product recommendations

LZH Jansen, KE Bennin - … Journal of Information Management Data Insights, 2025 - Elsevier
Nowadays, retailers try to optimize the shopping experience for consumers by offering
personalized services. Recommending food options, ie providing consumers suggestions …

A systematic review of movie recommender systems

Y Ariyanto, T Widiyaningtyas - ITEGAM-JETIA, 2024 - itegam-jetia.org
Recommender systems are vital to everyone's information selection. Managing massive
amounts of data is common with recommendation system technology. Annual film releases …

RAR-SB: research article recommendation using SciBERT with BiGRU

N Thierry, BK Bao, Z Ali - Scientometrics, 2023 - Springer
The wide range and enormous volume of academic papers on the Internet prompted
researchers to recommend models that could provide users with customized academic …

[PDF][PDF] An intelligent time aware food recommender system using support vector machine

M Panwar, A Sharma, OP Mahela… - Indonesian Journal of …, 2024 - ujcontent.uj.ac.za
This paper formulated a support vector machine powered time-aware food recommender
system (SVMTAFRS) to recommend healthy food for the customers. The rated food item …

Weight Loss Recommendation System

K Akrungsri, T Chomphuthan… - … on Cybernetics and …, 2024 - ieeexplore.ieee.org
In the modern days, overweight and obesity are growing fast around the world due to urban
growth and shifting lifestyles, eating habits have changed towards unhealthy food, which …

A proposed User-Based Approach for eBooks Recommendation Using a Weighted Nearest Neighbor Technique

AM Saleh, AY Taqa - Sinkron: jurnal dan penelitian teknik …, 2023 - jurnal.polgan.ac.id
Large book data stores were beneficial for our support systems but posed significant
challenges for useful information retrieval. This issue was resolved by collaboratively …