In this paper, we focus on this problem and address it through a novel reputation model that uses the Elo algorithm to consider consumer-implicit information in ...

Based on the implicit information, our model can assign reputation values to unrated services and boost up the convergence rate towards service ranking ...

In this paper, we focus on this problem and address it through a novel reputation model that uses the Elo algorithm to consider consumer-implicit information in ...

A novel reputation model that uses the Elo algorithm to consider consumer-implicit information in a graph analysis approach and outperforms the widely ...

Unfortunately, services at the cold-start stage, prior to being rated, face the rating scarcity problem. In this paper, we focus on this problem and address it ...

Jun 27, 2016 · Current reputation systems are mainly built upon the explicit feedback or rating given by consumers after experiencing the service.

Fingerprint. Dive into the research topics of 'Evaluating reputation of web services under rating scarcity'. Together they form a unique fingerprint.

Mar 24, 2023 · Xin Zhou, Donghui Lin , Toru Ishida : Evaluating Reputation of Web Services under Rating Scarcity. SCC 2016: 211-218.

In this paper, we propose a Statistical Cloud Assisted Reputation Estimation (sCARE) approach for service- oriented environments in uncertain situations.

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