In the era of internet access, recommender systems try to alleviate the difficulty that
consumers face while trying to find items (eg, services, products, or information) that better …

Services computing can offer a high-level abstraction to support diverse applications via
encapsulating various computing infrastructures. Though services computing has greatly …

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) …

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 …

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 …

In large-scale recommender systems, the user-item networks are generally scale-free or
expand exponentially. For the representation of the user and item, the latent features (aka …

With increasing presence and adoption of Web services on the World Wide Web, Quality-of-
Service (QoS) is becoming important for describing nonfunctional characteristics of Web …

With the widespread application of service-oriented architecture (SOA), a flood of similarly
functioning services have been deployed online. How to recommend services to users to …

Social networks have become very important for networking, communications, and content
sharing. Social networking applications generate a huge amount of data on a daily basis …

In recent years, deep neural networks have achieved exciting results in a variety of tasks,
and many fields try to introduce neural network techniques. In mobile edge computing, there …