Confidence-Aware Reputation Bootstrapping in Composite Service Environments
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We propose a novel reputation bootstrapping approach for both composite and atomic services in service-oriented environments. We consider multiple factors which may implicitly represent reputations of new services. Our approach does not rely on empirical assumptions. In contrast, we propose a data-driven method to determine how much a factor can represent service reputation. The reputation-related factors are modelled in a layer-based framework. This aims to quantitatively describe the importance of factors in reputation bootstrapping. Furthermore, we define confidence to represent how reliable the bootstrapped reputation of a new service is. We evaluate our approach based on a real-world dataset. The experimental results demonstrate the feasibility and outperformance of our approach.
This research was made possible by DP150100149 grant from Australian Research Council. The statements made herein are solely the responsibility of the authors.
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