With the prevalence of service computing and cloud computing, more and more services are
emerging on the Internet, generating huge volume of data, such as trace logs, QoS …

As one of the cyber–physical–social systems that plays a key role in people's daily activities,
a smart city is producing a considerable amount of industrial data associated with …

This paper presents the state of art techniques in recommender systems (RS). The various
techniques are diagrammatically illustrated which on one hand helps a naïve researcher in …

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 …

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 …

Deep-Learning-as-a-service (DLaaS) has received increasing attention due to its novelty as
a diagram for deploying deep learning techniques. However, DLaaS faces performance and …

With the growing number of competing Web services that provide similar functionality,
Quality-of-Service (QoS) prediction is becoming increasingly important for various QoS …

The number of Web services on the Internet has been growing rapidly. This has made it
increasingly difficult for users to find the right services from a large number of functionally …

Collaborative Filtering (CF) is widely employed for making Web service recommendation.
CF-based Web service recommendation aims to predict missing QoS (Quality-of-Service) …

Abstract Quality of Service (QoS) prediction and privacy preservation are two key challenges
in service recommendation. Nevertheless, the existing QoS prediction methods cannot be …