基于态势感知的Web服务推荐方法

Chen Liu, Huiping Lin, Yibing Xiong
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引用次数: 1

摘要

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,能够更合理、更完整地表示用户所处的环境,有利于发现服务用户的需求。因此,本文探索利用情境信息来推荐更符合用户需求的服务,同时提高QoS预测精度。同时考虑了用户在不同情况下服务选择的收敛性和用户的QoS体验。此外,我们还探讨了情境结构与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。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Web Service Recommendation Approach Based on Situation Awareness
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.
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