Evolution from ancient medication to human‐centered Healthcare 4.0: A review on health care recommender systems

D Sharma, G Singh Aujla, R Bajaj - International Journal of …, 2023 - Wiley Online Library
The evolution of intelligent and data‐driven systems has pushed for the tectonic transition
from ancient medication to human‐centric Healthcare 4.0. The rise of Internet of Things …

Multi-armed bandits in recommendation systems: A survey of the state-of-the-art and future directions

N Silva, H Werneck, T Silva, ACM Pereira… - Expert Systems with …, 2022 - Elsevier
Abstract Recommender Systems (RSs) have assumed a crucial role in several digital
companies by directly affecting their key performance indicators. Nowadays, in this era of big …

A survey on recommender systems for Internet of Things: techniques, applications and future directions

M Altulyan, L Yao, X Wang, C Huang… - The Computer …, 2022 - academic.oup.com
Recommendation is a critical tool for developing and promoting the benefits of the Internet of
Things (IoT). In recent years, recommender systems have attracted considerable attention in …

Recommendation by users' multimodal preferences for smart city applications

C Xu, Z Guan, W Zhao, Q Wu, M Yan… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
As an essential role in smart city applications, personalized recommender systems help
users to find their potentially interested items from their historically generated data. Recently …

Recommender systems for the internet of things: a survey

M Altulyan, L Yao, X Wang, C Huang… - arXiv preprint arXiv …, 2020 - arxiv.org
Recommendation represents a vital stage in developing and promoting the benefits of the
Internet of Things (IoT). Traditional recommender systems fail to exploit ever-growing …

An overview of recommender systems in the context of smart cities

R Madani, EZZ Abderrahmane… - 2020 5th International …, 2020 - ieeexplore.ieee.org
The concept of smart city appeared following technological, societal and organizational
changes. A smart city uses huge number of equipments connected to internet, to gather data …

Context enhancement for linear contextual multi-armed bandits

N Gutowski, T Amghar, O Camp… - 2018 IEEE 30th …, 2018 - ieeexplore.ieee.org
Contextual Multi-Armed Bandit (CMAB) algorithms such as LinUCB (Linear Upper
Confidence Bound) or Contextual Thompson Sampling (CTS) base their resolution on the …

Towards an extensible context model for mobile user in smart cities

B Boudaa, S Hammoudi, SM Benslimane - … Its Applications: 6th IFIP TC 5 …, 2018 - Springer
In smarts cities environments, a recommender system (RS) has for goal to recommend
relevant services to the user who is sometimes mobile. Thus, to be able to provide accurate …

Improving bandit-based recommendations with spatial context reasoning: An online evaluation

N Gutowski, O Camp, F Chhel… - 2019 IEEE 31st …, 2019 - ieeexplore.ieee.org
The pervasive deployment of low cost WiFi access points has accelerated the development
of mobile computing to provide ubiquitous computing. Herein, we focus first on the discovery …

Effect of routing constraints on learning efficiency of destination recommender systems in mobility-on-demand services

G Yoon, JYJ Chow, A Dmitriyeva… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
With Mobility-as-a-Service platforms moving toward vertical service expansion, we propose
a destination recommender system for Mobility-on-Demand (MOD) services that explicitly …