Historical Quality-of-Service (QoS) data describing existing user-service invocations are vital
to understanding user behaviors and cloud service conditions. Collaborative Filtering (CF) …

In practice, field measurements often show missing data due to several dynamic factors.
However, the complete data about a given environment is key to characterizing the radio …

Accurately predicting Quality of Service (QoS) is one of the main challenges in the area of
service recommendation, and it has thus attracted much attention in recent years. This field …

In order to solve the problem of insufficient accuracy of Web service QoS prediction, a joint
QoS prediction method for Web services based on the deep fusion of features was proposed …

With the advent of Web service technologies, the number of services published on the cloud
is increasing rapidly. The quality of service (QoS) becomes a crucial criterion for selecting …

End-to-end QoS measurement plays an indispensable role in the decision-making of cloud
services and IoT services. Many efforts have paid on developing QoS prediction approaches …

Predicting quality of service (QoS) is an important issue in the field of service
recommendation that has been widely studied in the past few years. Many current methods …

为了解决Web 服务QoS 预测准确度不够的问题, 针对QoS 中隐藏的环境偏好信息和多类QoS
隐藏的共同特征, 提出一种基于特征深度融合的Web 服务QoS 联合预测方法. 考虑QoS …

Web service recommender systems have a fundamental role in the selection, composition
and substitution of services. Indeed, they are used in several application areas such as Web …

In the era of network information overload, personalized service recommendation is paid
more and more attention by researchers, and Quality of Service (QoS) is a key criterion for …