项目名称: 基于用户偏好感知的SaaS服务选择优化研究
项目编号: No.71271099
项目类型: 面上项目
立项/批准年度: 2013
项目学科: 管理科学
项目作者: 王伟军
作者单位: 华中师范大学
项目金额: 56万元
中文摘要: 随着云计算技术与应用的不断发展,SaaS成为一种新兴的信息服务商业应用模式,但现有云服务的相关研究中针对用户个性化需求的SaaS云服务资源组合与选择优化研究相对缺乏。本项目以基于用户偏好的SaaS服务选择优化为研究对象,在综合分析SaaS的服务属性和用户的个性化偏好的基础上,引入情境要素、认知心理要素和服务质量要素,构造SaaS用户偏好感知概念模型;进而设计多维度用户偏好提取算法MUPEA,该算法利用数据挖掘技术、层次分析法、模糊理论等研究方法提取基于情境的用户偏好、基于认知心理的用户偏好和基于用户评价的服务质量偏好等多维度用户偏好信息,然后加权计算出综合的用户偏好值;在此基础上,利用服务选择优化算法进一步测试比较Top-N个服务,得出相对最优的SaaS服务组合,从而为SaaS系统的服务选择优化提供依据,以更好地满足用户个性化服务的需要,提高用户使用SaaS的满意度。
中文关键词: 用户偏好;情境;服务质量;个性化服务;软件即服务
英文摘要: With the rapid development of Cloud Computing Technology, SaaS has become a new business model for information service. Since the service content and service quality vary from customer to customer, user's preferences and personalized demands should be taken into consideration while providing specialized services. So far, the research on user's preference focuses on the personalized recommendation system in Electronic Commerce field. Concerning with the effects of context and cognition variables on user's preference, researchers begin to introduce context information and cognition model to user's preference model. Besides, some researchers use user's expectation and user's preference to optimize service selection. However, SaaS user's preference relates to multidimensional factors, and previous researches only covered some of them. In recent researches related,there's a lack of researches on SaaS cloud service resource combination and selection optimization focusing on individual user's preference demands.So the systematic research on user's multidimensional preference perception and service selection optimization strategy needs to be done. Based on the overall analysis of Saas service attributes and its user's preferences, this project constructs a User's Preferences Perception Model introducing the context f
英文关键词: User preference;Context;Service quality;Personalized service;SaaS