Quality of Web Service Prediction by Collective Matrix Factorization

被引：14

作者：

Zhang, Richong ^{[1
]}

Li, Chune ^{[1
]}

Sun, Hailong ^{[1
]}

Wang, Yanghao ^{[1
]}

Huai, Jinpeng ^{[1
]}

机构：

[1] Beihang Univ, Sch Comp Sci & Engn, Beijing 100191, Peoples R China

来源：

2014 IEEE INTERNATIONAL CONFERENCE ON SERVICES COMPUTING (SCC 2014) | 2014年

关键词：

quality of web services; matrix factorization; QoS prediction;

D O I：

10.1109/SCC.2014.64

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

This paper studies the quality of web service prediction problem. We formalize the QoS prediction problem by incorporating multiple contextual characteristics via collective matrix factorization that simultaneously factor the user-service quality matrix and contextual information matrices. Using the service category and location context, we develop three context-aware QoS prediction models and algorithms to demonstrate the advantages of this modeling technique. The advantages of our proposed models are demonstrated via experiments on real-life data sets.

引用

页码：432 / 439

页数：8

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