Abstract
Web services are very prevalent nowadays. Recommending Web services that users are interested in becomes an interesting and challenging research problem. in this paper, we present AWSR (Active Web Service Recommendation), an effective Web service recommendation system based on users' usage history to actively recommend Web services to users. AWSR extracts user's functional interests and QoS preferences from his/her usage history. Similarity between user's functional interests and a candidate Web service is calculated first. a hybrid new metric of similarity is developed to combine functional similarity measurement and nonfunctional similarity measurement based on comprehensive QoS of Web services. the AWSR ranks publicly available Web services based on values of the hybrid metric of similarity, so that a Top-K Web service recommendation list is created for a user. AWSR has been implemented and deployed on the Web. by conducting large-scale experiments based on a real-world Web services dataset, it is shown that our system effectively recommends Web services based on users' functional interests and non-functional requirements with excellent performance. © 2012 IEEE.
Recommended Citation
G. Kang et al., "AWSR: Active Web Service Recommendation based on Usage History," Proceedings - 2012 IEEE 19th International Conference on Web Services, ICWS 2012, pp. 186 - 193, article no. 6257806, Institute of Electrical and Electronics Engineers, Sep 2012.
The definitive version is available at https://doi.org/10.1109/ICWS.2012.86
Department(s)
Computer Science
Keywords and Phrases
QoS; TF/IDF; Usage history; User interests; Web service; Web service recommendation
International Standard Book Number (ISBN)
978-076954752-7
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 Institute of Electrical and Electronics Engineers, All rights reserved.
Publication Date
24 Sep 2012
