Title
Neighborhood-Based Uncertain QoS Prediction of Web Services via Matrix Factorization.
Abstract
With the rapidly overwhelming number of services on the internet, QoS-based web service recommendation has become an urgent demand on service-oriented applications. Since there are a large number of missing QoS values in the user historical invocation records, accurately predicting these missing QoS values becomes a hot research issue. However, most existing service QoS prediction research assumes that the transactional process of the service was stable, and its QoS doesn’t change as time goes. In fact, service invocation process is usually affected by many factors (e.g., geographical location, network environment), leading to service invocations with QoS uncertainty. Therefore, QoS prediction based on traditional methods can not exactly adapt to the scenarios in real-world applications. To solve the issue, combined with the collaborative filtering and matrix factorization theory, we propose a novel approach for prediction of uncertain service QoS under the dynamic Internet environment. Extensive experiments have been conducted on a real-world data set and the results demonstrate the effectiveness and applicability of our approach for QoS prediction.
Year
DOI
Venue
2018
10.1007/978-3-030-12981-1_46
CollaborateCom
Field
DocType
Citations 
Transaction processing,Collaborative filtering,Computer science,Matrix decomposition,Quality of service,Computer network,Web service,Service-oriented architecture,The Internet,Distributed computing
Conference
0
PageRank 
References 
Authors
0.34
16
7
Name
Order
Citations
PageRank
Guobing Zou19520.12
Shengye Pang211.03
Pengwei Wang314216.01
Huaikou Miao445168.03
Sen Niu573.17
Yanglan Gan6133.96
Bofeng Zhang7103.86