云桌面是为用户提供可定制、共享资源的新型云服务，用户可以将云桌面作为一种可检索的数据资源，根据自身需求选择合适的云桌面.从资源提供者和消费者两端，提出了一种基于本体的用户需求描述与匹配的云桌面推荐方法.一方面对资源提供端的服务功能和非功能特性进行了分析，将基于本体技术对用户需求和待选桌面镜像进行匹配，为用户发现更可靠的云桌面；另一方面对资源消费端的用户需求进行了分析，利用协同过滤机制，供用户选择合适的云桌面资源，避免了用户资源请求的偏差.实验结果表明，本文方法提高了云桌面在资源发现和选择过程中的准确性，能根据用户潜在的需求向用户推荐更合适的数据资源.
A cloud desktop is a new type of cloud service that can provide customizable and shared resources. As a searchable cloud service, it can be configured to satisfy individual demands. This paper presents a cloud desktop recommendation method based on ontology, a description of user requirements, and matching from both resource providers and consumers. In one case, the service functions and non-functional features of a resource provider are analyzed, and ontologies are used to match user requirements with a candidate desktop image to find a reliable cloud desktop. In another case, user requirements for resource consumers are analyzed, and we utilize collaborative filtering methods to allow the user to select an appropriate cloud desktop resource, avoiding potential deviations in user resource requests. Experimental results show that the proposed method improves the accuracy of the cloud desktop in the resource discovery and selection process; moreover, the proposed method can recommend more suitable data resources according to the potential needs of users.
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