软件服务化背景下的云服务推荐方法研究

项目名称： 软件服务化背景下的云服务推荐方法研究

项目编号： No.71201042

项目类型： 青年科学基金项目

立项/批准年度： 2013

项目学科： 管理科学与工程

项目作者： 丁帅

作者单位： 合肥工业大学

项目金额： 19万元

中文摘要： 云计算理论与技术的快速发展，使得越来越多的中小企业和个人用户开始选择按需定制、配置灵活、动态可扩展且更新与维护代价低廉的各类云服务。而对于专业知识相对匮乏的用户而言，快速选择既可达到特定功能需求又能满足隐性用户兴趣的云服务是极其困难的，迫切需要研究相关的云服务推荐问题。本项目针对云服务应用的新特点，从云服务用户兴趣建模、个性化推荐方法以及推荐算法综合评价等方面，系统研究软件服务化背景下的云服务推荐方法。主要研究内容包括：建立云服务的用户兴趣表示模型，研究基于交易信息、在线行为和服务评论等多源数据的用户兴趣多粒度知识发现方法；探索软件服务化背景下的云服务推荐过程模型，研究设计面向单一及组合应用的云服务个性化推荐算法；分析传统推荐算法度量指标的适用性，并建立考虑用户兴趣满足的推荐算法新度量，进而研究云服务推荐算法的综合评价方法，为软件服务化背景下云服务的用户兴趣发现与个性化推荐提供理论支持。

中文关键词： 软件服务化；云服务；智能推荐；社交网络；性能预测

英文摘要： With the fast and wide adoption of cloud computing, many small and medium enterprises (SMEs) and individual users prefer to apply cloud services to build their business system or personal applications. Cloud services have many advantages such as on-demand access, remote accessibility, easy expansion and upgrade, and reduced maintenance and management costs. The recent years have seen a tremendous increase of the type and the number of different cloud services in the Software as a Service (SaaS) environment. However, given the lack of cloud computing technology of SMEs and individual users, it is tedious when manually selecting appropriate services from the large cloud service pool, which can not only achieve the functional requirements but also meet the user's hidden interests. This jeopardizes the future development of cloud services in the SaaS environment. In this project, we address this challenge through automatic user interest discovery and custom cloud service recommendation in the SaaS environment.Some key issues in cloud service recommendation research,such as user's interest modeling, personalized recommendation method and comprehensive evaluation of the cloud recommendation algorithms,will be systematically studied. Firstly, we will establish an analytical model to describe user's interests. Based on

英文关键词： Software as a Service；Cloud Service；Intelligent Recommendation；Social Network；Performance Prediction