文章基本信息

标题：Personalized Web Service Selection
本地全文：下载
作者：Shailesh Khapre ; D. Chandramohan
期刊名称：International Journal of Web & Semantic Technology
印刷版ISSN：0976-2280
电子版ISSN：0975-9026
出版年度：2011
卷号：2
期号：2
DOI：10.5121/ijwest.2011.2206
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：Web services have shown the potential to have a significant impact on the business, however, also shown problems like automatic service discovery or service interoperability issue. Because of today’s wide variety of services offered to perform a specific task, it is essential that users are guided in the eventual selection of appropriate services. In this paper we present an extensive study of different selection techniques towards advanced personalization of Web service selection. We propose the customization of the user profile to support different steps of interaction with services and propose techniques to personalize each subsequent step. Our main contribution is an algorithm featuring the expansion of service requests by user-defined demands and wishes. Services not matching a user specification are discarded on the fly and equally useful results of alternative services can be compared with respect to user provided preferences. We also present a case study to evaluate our personalization techniques.
关键词：Web Services Selection; Registries and Semantic Discovery; Personalization; Collaborative Filtering;Service/ Usage Patterns