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) …
A posterior-neighborhood-regularized latent factor model for highly accurate web service QoS prediction
Neighborhood regularization is highly important for a latent factor (LF)-based Quality-of-
Service (QoS)-predictor since similar users usually experience similar QoS when invoking …
Service (QoS)-predictor since similar users usually experience similar QoS when invoking …
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 …
Personalized QoS prediction for web services using latent factor models
Recommending the suitable Web service is an important topic in today's society. The critical
step is to accurately predict QoS of Web services. However, the highly sparse QoS data …
step is to accurately predict QoS of Web services. However, the highly sparse QoS data …
A probability distribution detection based hybrid ensemble QoS prediction approach
J Li, J Lin - Information Sciences, 2020 - Elsevier
Recently, with the rapid increase in the number of web services, how to discover services to
meet personalized requirements of users in large-scale scenarios has become a popular …
meet personalized requirements of users in large-scale scenarios has become a popular …
A location-based factorization machine model for web service QoS prediction
With the prevalence of web services, a large number of similar web services are provided by
different providers. To select the optimal service among these service candidates, Quality of …
different providers. To select the optimal service among these service candidates, Quality of …
Collaborative web service QoS prediction via neighborhood integrated matrix factorization
With the increasing presence and adoption of web services on the World Wide Web, the
demand of efficient web service quality evaluation approaches is becoming …
demand of efficient web service quality evaluation approaches is becoming …
A graph-based QoS prediction approach for web service recommendation
Z Chang, D Ding, Y Xia - Applied Intelligence, 2021 - Springer
With the development of the Internet, the recommendation based on Quality of Service (QoS)
is proven to be an efficient way to deal with the ever-increasing web services in both industry …
is proven to be an efficient way to deal with the ever-increasing web services in both industry …
Generating highly accurate predictions for missing QoS data via aggregating nonnegative latent factor models
Automatic Web-service selection is an important research topic in the domain of service
computing. During this process, reliable predictions for quality of service (QoS) based on …
computing. During this process, reliable predictions for quality of service (QoS) based on …
A Kalman-filter-incorporated latent factor analysis model for temporally dynamic sparse data
With the rapid development of services computing in the past decade, Quality-of-Service
(QoS)-aware selection of Web services has become a hot yet thorny issue. Conducting …
(QoS)-aware selection of Web services has become a hot yet thorny issue. Conducting …