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- Title
Mashup Service Recommendation Based on Usage History and Service Network.
- Authors
Buqing Cao; Jianxun Liu; Mingdong Tang; Zibin Zheng; Guangrong Wang
- Abstract
With the rapid development of Web 2.0 and its related technologies, Mashup services (i.e., Web applications created by combining two or more Web APIs) are becoming a hot research topic. The explosion of Mashup services, especially the functionally similar or equivalent services, however make services discovery more difficult than ever. In this paper we present an approach to recommend Mashup services to users based on usage history and service network This approach firstly extracts users' interests from their Mashup service usage history and builds a service network based on social relationships information among Mashup services, Web application programming interfaces (APIs) and their tags. The approach then leverages the target user's interest and the service social relationship to perform Mashup service recommendation. Large-scale experiments based on a real-world Mashup service dataset show that the authors' proposed approach can effectively recommend Mashup services to users with excellent performance. Moreover, a Mashup service recommendation prototype system is developed.
- Subjects
MASHUPS (Internet); WEB-based user interfaces; THREE-dimensional printing; INVERSE document frequency; COMPUTER programming
- Publication
International Journal of Web Services Research, 2013, Vol 10, Issue 4, p82
- ISSN
1545-7362
- Publication type
Article
- DOI
10.4018/ijwsr.2013100104