Fake reviews detection: A survey

R Mohawesh, S Xu, SN Tran, R Ollington… - Ieee …, 2021 - ieeexplore.ieee.org
In e-commerce, user reviews can play a significant role in determining the revenue of an
organisation. Online users rely on reviews before making decisions about any product and …

Text mining of user-generated content (UGC) for business applications in e-commerce: A systematic review

S Li, F Liu, Y Zhang, B Zhu, H Zhu, Z Yu - Mathematics, 2022 - mdpi.com
In the Web2. 0 era, user-generated content (UGC) provides a valuable source of data to aid
in understanding consumers and driving intelligent business. Text mining techniques, such …

Blockchain digital technology empowers E-commerce supply chain sustainable value co-creation decision and coordination considering online consumer reviews

X Wan, D Yang, Z Teng - Applied Soft Computing, 2022 - Elsevier
From the perspective of value co-creation, this study adopted Stackelberg game theory to
construct traditional e-commerce supply chain and BOCR technology e-commerce supply …

A benchmark study of machine learning for analysis of signal feature extraction techniques for blood pressure estimation using photoplethysmography (PPG)

S Maqsood, S Xu, M Springer, R Mohawesh - Ieee Access, 2021 - ieeexplore.ieee.org
Cardiovascular related diseases are the most significant health concern around the globe.
The most crucial health indicator is blood pressure because it gives essential information …

Mining behavioural and sentiment-dependent linguistic patterns from restaurant reviews for fake review detection

P Hajek, JM Sahut - 2022 - dk.upce.cz
Online reviews are increasingly recognized as a key source of information influencing
consumer behavior. This in turn implies that competitive advantage can be achieved by …

[HTML][HTML] Α ranking model based on user generated content and fuzzy logic

D Novas, D Papakyriakopoulos, EP Kartaloglou… - International Journal of …, 2023 - Elsevier
Abstract User Generated Comments and ranking based on it, has been studied extensively
due to its impact on consumers and businesses. Literature highlights that platforms' rankings …

Asynchronous peer-to-peer federated capability-based targeted ransomware detection model for industrial IoT

M Al-Hawawreh, E Sitnikova, N Aboutorab - IEEE Access, 2021 - ieeexplore.ieee.org
Industrial Internet of Thing (IIoT) systems are considered attractive ransomware targets
because they operate critical services that affect human lives and have substantial …

A Deep Hybrid Model for fake review detection by jointly leveraging review text, overall ratings, and aspect ratings

RA Duma, Z Niu, AS Nyamawe, J Tchaye-Kondi… - Soft Computing, 2023 - Springer
Recently, product/service reviews and online businesses have been similar to the blood–
heart relationship as they greatly impact customers' purchase decisions. There is an …

Fake online reviews: A unified detection model using deception theories

M Abdulqader, A Namoun, Y Alsaawy - IEEE Access, 2022 - ieeexplore.ieee.org
Online reviews influence consumers' purchasing decisions. However, identifying fake online
reviews automatically remains a complex problem, and current detection approaches are …

[HTML][HTML] A novel Edge architecture and solution for detecting concept drift in smart environments

H Mehmood, A Khalid, P Kostakos, E Gilman… - Future Generation …, 2024 - Elsevier
The proliferation of the Internet of Things (IoT), artificial intelligence (AI), the adoption of 5G,
and progress towards 6G technology have led to the accumulation of massive amounts of …