An empirical study on system level aspects of Internet of Things (IoT)

SN Swamy, SR Kota - IEEE Access, 2020 - ieeexplore.ieee.org
Internet of Things (IoT) is an integration of the Sensor, Embedded, Computing, and
Communication technologies. The purpose of the IoT is to provide seamless services to …

What motivates customers to shop in smart shops? The impacts of smart technology and technology readiness

YW Chang, J Chen - Journal of Retailing and Consumer Services, 2021 - Elsevier
With the rapid diffusion of smart technologies, a new retail mode, the smart shop, has
received increasing attention from both academia and practitioners in the 5G era. However …

Context-aware recommendation systems in the IoT environment (IoT-CARS)–A comprehensive overview

D Nawara, R Kashef - IEEE Access, 2021 - ieeexplore.ieee.org
An essential goal of recommendation systems is to provide users with accurate and
personalized recommendations that meet their preferences. With the rapid growth of IoT …

Surrogate for long-term user experience in recommender systems

Y Wang, M Sharma, C Xu, S Badam, Q Sun… - Proceedings of the 28th …, 2022 - dl.acm.org
Over the years we have seen recommender systems shifting focus from optimizing short-
term engagement toward improving long-term user experience on the platforms. While …

Systematic Literature Review on Recommender System: Approach, Problem, Evaluation Techniques, Datasets

I Saifudin, T Widiyaningtyas - IEEE Access, 2024 - ieeexplore.ieee.org
Recommender systems become essential with the presence of the internet and social
media. The perceived benefits of the recommender system can make it easier for users to …

Tourist motivation to adopt smart hospitality: the impact of smartness and technology readiness

S Khan, SU Khan - Journal of Hospitality and Tourism Insights, 2024 - emerald.com
Purpose As smart technologies rapidly permeate the hospitality industry, understanding their
impact on guest experiences is crucial. Existing research often treats smart technology as a …

PEVRM: probabilistic evolution based version recommendation model for mobile applications

M Maheswari, S Geetha, SS Kumar, M Karuppiah… - IEEE …, 2021 - ieeexplore.ieee.org
Traditional recommendation approaches for the mobile Apps basically depend on the Apps
related features. Now a days many users are in quench of Apps recommendation based on …

Enhancing shopping experiences in smart retailing

L Bourg, T Chatzidimitris, I Chatzigiannakis… - Journal of Ambient …, 2023 - Springer
The retailing market has undergone a paradigm-shift in the last decades, departing from its
traditional form of shopping in brick-and-mortar stores towards online shopping and the …

Spatiotemporal co-attention hybrid neural network for pedestrian localization based on 6D IMU

Y Wang, H Cheng, MQH Meng - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In this paper, we propose spatiotemporal co-attention hybrid neural network (SC-HNN), a
novel hybrid neural network model with both spatial and temporal attention mechanisms for …

Edge intelligence as a service

P Raith, S Dustdar - 2021 IEEE International Conference on …, 2021 - ieeexplore.ieee.org
Edge Intelligence is the umbrella term for new types of applications, which are being created
due to the advent of Internet of Things and the resulting Edge Computing paradigm …