Web Service Recommendation via Exploiting Location and QoS Information
Publication in refereed journal


摘要Web services are integrated software components for the support of interoperable machine-to-machine interaction over a network. Web services have been widely employed for building service-oriented applications in both industry and academia in recent years. The number of publicly available Web services is steadily increasing on the Internet. However, this proliferation makes it hard for a user to select a proper Web service among a large amount of service candidates. An inappropriate service selection may cause many problems (e.g., ill-suited performance) to the resulting applications. In this paper, we propose a novel collaborative filtering-based Web service recommender system to help users select services with optimal Quality-of-Service (QoS) performance. Our recommender system employs the location information and QoS values to cluster users and services, and makes personalized service recommendation for users based on the clustering results. Compared with existing service recommendation methods, our approach achieves considerable improvement on the recommendation accuracy. Comprehensive experiments are conducted involving more than 1.5 million QoS records of real-world Web services to demonstrate the effectiveness of our approach.
著者Chen X, Zheng ZB, Yu Q, Lyu MR
期刊名稱IEEE Transactions on Parallel and Distributed Systems
出版社Institute of Electrical and Electronics Engineers (IEEE)
頁次1913 - 1924
關鍵詞collaborative filtering; quality of service (QoS); recommendation; Web service
Web of Science 學科類別Computer Science; Computer Science, Theory & Methods; COMPUTER SCIENCE, THEORY & METHODS; Engineering; Engineering, Electrical & Electronic; ENGINEERING, ELECTRICAL & ELECTRONIC

上次更新時間 2021-13-01 於 00:10