Z Zheng, X Li, M Tang, F Xie… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
With the growing number of competing Web services that provide similar functionality, Quality-of-Service (QoS) prediction is becoming increasingly important for various QoS …
X Chen, X Liu, Z Huang, H Sun - 2010 IEEE international …, 2010 - ieeexplore.ieee.org
Several approaches to web service selection and recommendation via collaborative filtering have been studied, but seldom have these studies considered the difference between web …
X Chen, Z Zheng, X Liu, Z Huang… - IEEE Transactions on …, 2011 - ieeexplore.ieee.org
With the proliferation of web services, effective QoS-based approach to service recommendation is becoming more and more important. Although service recommendation …
Y Jiang, J Liu, M Tang, X Liu - 2011 IEEE international …, 2011 - ieeexplore.ieee.org
Collaborative filtering is one of widely used Web service recommendation techniques. There have been several methods of Web service selection and recommendation based on …
AA Kardan, M Ebrahimi - Information Sciences, 2013 - Elsevier
Recommender systems have been developed in variety of domains, including asynchronous discussion group which is one of the most interesting ones. Due to the …
L Yao, X Wang, QZ Sheng… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Mashups are a dominant approach for building data-centric applications, especially mobile applications, in recent years. Since mashups are predominantly based on public data …
SY Hwang, CC Hsu, CH Lee - IEEE transactions on services …, 2014 - ieeexplore.ieee.org
Web services can be specified from two perspectives, namely functional and non-functional properties. Multiple services may possess the same function while vary in their non …
X Wang, J Zhu, Z Zheng, W Song, Y Shen… - ACM Transactions on the …, 2016 - dl.acm.org
Due to the popularity of service-oriented architectures for various distributed systems, an increasing number of Web services have been deployed all over the world. Recently, Web …
The purpose of this study is to identify, summarize, and systematically compare various clustering and association rule techniques for web service discovery and recommendation …