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QoS prediction for Web service in Mobile Internet environment
New Review of Hypermedia and Multimedia ( IF 1.2 ) Pub Date : 2016-06-16 , DOI: 10.1080/13614568.2016.1152315
Qibo Sun , Lubao Wang , Shangguang Wang , You Ma , Ching-Hsien Hsu

ABSTRACT Quality of Services (QoS) prediction plays an important role in Web service recommendation. Many existing Web service QoS prediction approaches are highly accurate and useful in Internet environments. However, the QoS data of Web service in Mobile Internet are notably more volatile, which makes these approaches fail in making accurate QoS predictions of Web services. In this paper, by weakening the volatility of QoS data, we propose an accurate Web service QoS prediction approach based on the collaborative filtering algorithm. This approach contains three processes, that is, QoS preprocessing, user similarity computing and QoS predicting. We have implemented our proposed approach with an experiment based on real-world and synthetic datasets. The results demonstrate that our approach outperforms other approaches in Mobile Internet.

中文翻译:

移动互联网环境下Web服务的QoS预测

摘要 服务质量 (QoS) 预测在 Web 服务推荐中起着重要作用。许多现有的 Web 服务 QoS 预测方法在 Internet 环境中非常准确和有用。然而,移动互联网中Web服务的QoS数据明显更不稳定,这使得这些方法无法对Web服务进行准确的QoS预测。在本文中,通过弱化QoS数据的波动性,我们提出了一种基于协同过滤算法的准确的Web服务QoS预测方法。该方法包含三个过程,即QoS预处理、用户相似度计算和QoS预测。我们已经通过基于真实世界和合成数据集的实验实现了我们提出的方法。结果表明,我们的方法优于移动互联网中的其他方法。
更新日期:2016-06-16
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