Reputation-aware QoS value prediction of web services
Refereed conference paper presented and published in conference proceedings

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AbstractQoS value prediction of Web services is an important research issue for service recommendation, selection and composition. Collaborative Filtering (CF) is one of the most widely used methods which employs QoS values contributed by similar users to make predictions. Therefore, historical QoS values contributed by different users can have great impacts on prediction results. However, existing Web service QoS value prediction approaches did not take data credibility into consideration, which may impact the prediction accuracy. To address this problem, we propose a reputation-aware QoS value prediction approach, which first calculates the reputation of each user based on their contributed values, and then takes advantage of reputation-based ranking to exclude the values contributed by untrustworthy users. CF QoS prediction approach is finally used to predict the missing QoS values based on the purified dataset. Experimental results show that our approach has higher prediction accuracy than other approaches. © 2013 IEEE.
All Author(s) ListQiu W., Zheng Z., Wang X., Yang X., Lyu M.R.
Name of Conference2013 IEEE 10th International Conference on Services Computing, SCC 2013
Start Date of Conference27/06/2013
End Date of Conference02/07/2013
Place of ConferenceSanta Clara, CA
Country/Region of ConferenceUnited States of America
Pages41 - 48
LanguagesEnglish-United Kingdom
Keywordscollaborative filtering, QoS value prediction, reputation-based ranking, Web service

Last updated on 2021-14-10 at 23:34