A novel community-based trust aware recommender systems for big data cloud service networks
BD Deebak, F Al-Turjman - Sustainable Cities and Society, 2020 - Elsevier
Abstract Internet of Things (IoT) has enhanced the appearance of the information and
communications technology (ICT) infrastructure of smart sustainable cities that emerge as a …
communications technology (ICT) infrastructure of smart sustainable cities that emerge as a …
ITARS: trust-aware recommender system using implicit trust networks
Trust-aware recommender system (TARS) suggests the worthwhile information to the users
on the basis of trust. Existing works of TARS suffers from the problem that they need extra …
on the basis of trust. Existing works of TARS suffers from the problem that they need extra …
Unifying user similarity and social trust to generate powerful recommendations for smart cities using collaborating filtering-based recommender systems
Recommender systems can improve the quality of life in smart cities by presenting
personalized services to the community. Such systems maintain a database of user profiles …
personalized services to the community. Such systems maintain a database of user profiles …
Stochastic trust network enriched by similarity relations to enhance trust-aware recommendations
M Ghavipour, MR Meybodi - Applied Intelligence, 2019 - Springer
Collaborative filtering (CF) is the most popular recommendation approach that has been
extensively employed in recommender systems. However, it suffers from some weaknesses …
extensively employed in recommender systems. However, it suffers from some weaknesses …
Securing the Internet of Things-enabled smart city infrastructure using a hybrid framework
Abstract Since the Internet of Things (IoT) employs a diverse range of new technologies, it is
impossible to build a single recommended design adopted as a master plan for all possible …
impossible to build a single recommended design adopted as a master plan for all possible …
Trust based recommender system using ant colony for trust computation
Collaborative Filtering (CF) technique has proven to be promising for implementing large
scale recommender systems but its success depends mainly on locating similar neighbors …
scale recommender systems but its success depends mainly on locating similar neighbors …
A semantic-enhanced trust based recommender system using ant colony optimization
Collaborative Filtering (CF) is the most popular recommendation technique that uses
preferences of users in a community to make personal recommendations for other users …
preferences of users in a community to make personal recommendations for other users …
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 …
Trust information network in social Internet of things using trust-aware recommender systems
J Son, W Choi, SM Choi - International Journal of Distributed …, 2020 - journals.sagepub.com
Social Internet of things is one of the most up-to-date research issues in the applications of
Internet of things technologies. In social Internet of things, accuracy and reliability are …
Internet of things technologies. In social Internet of things, accuracy and reliability are …
A deep learning based trust-and tag-aware recommender system
Recommender systems are popular tools used in many applications, such as e-commerce, e-
learning, and social networks to help users select their desired items. Collaborative filtering …
learning, and social networks to help users select their desired items. Collaborative filtering …