A scientometric review of emerging trends and new developments in recommendation systems
Recommendation systems have drawn an increasingly broad range of interest since early
1990s. Recently, a search with the query of “recommendation systems” on Google Scholar …
1990s. Recently, a search with the query of “recommendation systems” on Google Scholar …
A data-characteristic-aware latent factor model for web services QoS prediction
How to accurately predict unknown quality-of-service (QoS) data based on observed ones is
a hot yet thorny issue in Web service-related applications. Recently, a latent factor (LF) …
a hot yet thorny issue in Web service-related applications. Recently, a latent factor (LF) …
Service composition in dynamic environments: A systematic review and future directions
Distributed computing paradigms such as cloud, mobile, Internet of Things, and Fog have
enabled new modalities for building enterprise architectures through service composition …
enabled new modalities for building enterprise architectures through service composition …
Temporal pattern-aware QoS prediction via biased non-negative latent factorization of tensors
Quality-of-service (QoS) data vary over time, making it vital to capture the temporal patterns
hidden in such dynamic data for predicting missing ones with high accuracy. However …
hidden in such dynamic data for predicting missing ones with high accuracy. However …
Context-aware QoS prediction with neural collaborative filtering for Internet-of-Things services
With the prevalent application of Internet of Things (IoT) in real world, services have become
a widely used means of providing configurable resources. As the number of services is large …
a widely used means of providing configurable resources. As the number of services is large …
A double-space and double-norm ensembled latent factor model for highly accurate web service QoS prediction
Quality-of-Service (QoS), which describes the non-functional characteristics of Web service,
is of great significance in service selection. Since users cannot invoke all services to obtain …
is of great significance in service selection. Since users cannot invoke all services to obtain …
Collaborative learning-based industrial IoT API recommendation for software-defined devices: the implicit knowledge discovery perspective
The industrial Internet of things (IIoT), a new computing mode in Industry 4.0, is deployed to
connect IoT devices and use communication technology to respond to control commands …
connect IoT devices and use communication technology to respond to control commands …
An efficient non-negative matrix-factorization-based approach to collaborative filtering for recommender systems
Matrix-factorization (MF)-based approaches prove to be highly accurate and scalable in
addressing collaborative filtering (CF) problems. During the MF process, the non-negativity …
addressing collaborative filtering (CF) problems. During the MF process, the non-negativity …
Evaluating trust prediction and confusion matrix measures for web services ranking
To accurately rank various web services can be a very challenging task depending on the
evaluation criteria used, however, it can play an important role in performing a better …
evaluation criteria used, however, it can play an important role in performing a better …
Investigating QoS of real-world web services
Quality of service (QoS) is widely employed for describing nonfunctional characteristics of
web services. Although QoS of web services has been investigated intensively in the field of …
web services. Although QoS of web services has been investigated intensively in the field of …