SD logic–informed customer engagement: integrative framework, revised fundamental propositions, and application to CRM
Research addressing the micro-foundational theoretical entity of customer engagement (CE)
has proliferated in recent years. In parallel, the macro-foundational theory of service …
has proliferated in recent years. In parallel, the macro-foundational theory of service …
A UAV-assisted ubiquitous trust communication system in 5G and beyond networks
UAV-assisted wireless communications facilitate the applications of Internet of Things (IoT),
which employ billions of devices to sense and collect data with an on-demand style …
which employ billions of devices to sense and collect data with an on-demand style …
A reliability-based recommendation method to improve trust-aware recommender systems
P Moradi, S Ahmadian - Expert Systems with Applications, 2015 - Elsevier
Recommender systems (RSs) are programs that apply knowledge discovery techniques to
make personalized recommendations for user's information on the web. In online sharing …
make personalized recommendations for user's information on the web. In online sharing …
Rating‐Based Recommender System Based on Textual Reviews Using IoT Smart Devices
Recommender system (RS) is a unique type of information clarification system that
anticipates the user's evaluation of items from a large pool based on the expectations of a …
anticipates the user's evaluation of items from a large pool based on the expectations of a …
Etaf: An extended trust antecedents framework for trust prediction
Trust is one source of information that has been widely adopted to personalize online
services for users, such as in product recommendations. However, trust information is …
services for users, such as in product recommendations. However, trust information is …
A medical big data access control model based on fuzzy trust prediction and regression analysis
R Jiang, Y Xin, Z Chen, Y Zhang - Applied Soft Computing, 2022 - Elsevier
One of the important issues facing HIS (Hospital Information System) in the context of big
data is how to ensure that massive data and resources are protected from internal attacks …
data is how to ensure that massive data and resources are protected from internal attacks …
Generating trusted graphs for trust evaluation in online social networks
We propose a novel trust framework to address the issue of “Can Alice trust Bob on a
service?” in large online social networks (OSNs). Many models have been proposed for …
service?” in large online social networks (OSNs). Many models have been proposed for …
An effective trust-based recommendation method using a novel graph clustering algorithm
Recommender systems are programs that aim to provide personalized recommendations to
users for specific items (eg music, books) in online sharing communities or on e-commerce …
users for specific items (eg music, books) in online sharing communities or on e-commerce …
Information granulation-based community detection for social networks
ED Raj, G Manogaran, G Srivastava… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Online social networks (OSNs) have become so popular that it has changed the Internet to a
more collaborative environment. Now, a third of the world's population participates in OSNs …
more collaborative environment. Now, a third of the world's population participates in OSNs …
A social recommendation method based on an adaptive neighbor selection mechanism
Recommender systems are techniques to make personalized recommendations of items to
users. In e-commerce sites and online sharing communities, providing high quality …
users. In e-commerce sites and online sharing communities, providing high quality …