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A Web Service Recommendation Approach Based on Situation Awareness

机译:一种基于态势感知的Web服务推荐方法

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With the development of Service-Oriented Technologies, the amount of Web services grows rapidly. Situation awareness, as a very important computing paradigm which can provide more reasonable and complete representation of the user's environment, can be benefit to the discovering of the service user's requirement. Therefore in this paper, we explore to use the situational information to recommend services which satisfy the requirement of users better and meanwhile improve the QoS prediction accuracy. Both the convergences between users' service selections in different situations and their QoS experiences have been taken into account. Moreover, we investigate the potential relationships between the situations structure and the services selection. Experiment results indicate that our method achieves ideal performance.
机译:随着面向服务技术的发展,Web服务的数量迅速增长。态势感知作为一种非常重要的计算范式,可以提供用户环境的更合理和完整的表示形式,可以帮助发现服务用户的需求。因此,在本文中,我们试图利用情境信息来推荐能够更好地满足用户需求的服务,同时提高QoS预测的准确性。已经考虑了在不同情况下用户的服务选择之间的融合以及他们的QoS体验。此外,我们研究了情境结构和服务选择之间的潜在关系。实验结果表明,该方法达到了理想的性能。

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