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Toward Personalized and Adaptive QoS Assessments via Context Awareness

Barakat, Lina and Taylor, Phillip and Griffiths, Nathan and Taweel, Adel and Luck, Michael and Miles, Simon (2018) 'Toward Personalized and Adaptive QoS Assessments via Context Awareness.' Computational Intelligence, 34. 468 - 494. ISSN 0824-7935

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Abstract

Quality of Service (QoS) properties play an important role in distinguishing between functionally equivalent services and accommodating the different expectations of users. However, the subjective nature of some properties and the dynamic and unreliable nature of service environments may result in cases where the quality values advertised by the service provider are either missing or untrustworthy. To tackle this, a number of QoS estimation approaches have been proposed, using the observation history available on a service to predict its performance. Although the context underlying such previous observations (and corresponding to both user and service related factors) could provide an important source of information for the QoS estimation process, it has only been used to a limited extent by existing approaches. In response, we propose a context‐aware quality learning model, realized via a learning‐enabled service agent, exploiting the contextual characteristics of the domain to provide more personalized, accurate, and relevant quality estimations for the situation at hand. The experiments conducted demonstrate the effectiveness of the proposed approach, showing promising results (in terms of prediction accuracy) in different types of changing service environments.

Item Type: Article
Uncontrolled Keywords: context awareness, personalization, quality value learning, service behavior change
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Science and Health > Computer Science and Electronic Engineering, School of
Depositing User: Elements
Date Deposited: 05 Nov 2018 15:04
Last Modified: 05 Nov 2018 15:04
URI: http://repository.essex.ac.uk/id/eprint/23407

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