【作者】 张炜；

【导师】 丁振国；

【作者基本信息】 西安电子科技大学 ， 计算机系统结构， 2008， 硕士

【摘要】 随着教育信息呈指数增长,用户在拥有丰富的教育信息的同时,也面临着信息过载的困扰,因此实现个性化的教育信息服务对教育信息的共享有着迫切的要求。本文将基于项目的协同过滤推荐技术应用到教育信息共享领域。由于教育资源大多是难以用关键词描述的媒体资源,因此本文提出采用用户的评价信息作为推荐资源的依据。论文首先阐述教育资源建设的基本理论,以及目前教育资源共享存在的问题,提出了个性化的教育信息服务,并介绍了个性化推荐以及用户建模的关键技术。个性化推荐算法是个性化推荐系统的核心,论文在研究现有个性化推荐算法优缺点的基础上,设计了基于内容推荐和基于项目的协同过滤推荐相结合的教育信息个性化推荐算法,在一定程度上解决了协同过滤推荐的稀疏性问题和可扩展性问题,提高了推荐质量。论文最后设计了教育信息共享系统,及其个性化推荐模块,实践和应用教育信息个性化推荐算法,根据教育资源以及用户学习的特点,设计了用户模型和教育资源模型,实现了教育信息个性化推荐功能,为实现教育信息高效共享和个性化服务提供了新思路。更多还原

【Abstract】 With the exponential growth of education information, users are encompassed by plenty of education information and faced with the problem of "Information overload" at the same time. Therefore, it is an urgent demand to realize personal education information service for education information sharing.In this paper, the Item-based Collaborative Filtering Recommendation technology is applied to education information sharing field. Because most of the education information resource is multimedia resource, it can not be described exactly with keywords. So the score which users estimate resource items is used to recommend resources. First, the basic theory of education information construction and the problems in the education resource sharing are stated. Then the key techniques of personal recommendation technology and user modeling are introduced. Personal recommendation algorithm is the core of the personalization recommendation system. Thereby, based on analyzing and researching advantages and disadvantages of the present algorithm, a personal recommendation method of education information with the combination of content-based recommendation and item-based collaborative filtering is designed, which solves the problem of sparsity and scalability to a certain extent. Finally, the design of education information sharing system and the personal recommendation module is brought forward. According to the characteristics of education resources and users’ study, the user model and resource model are designed and the function of education information recommendation is implemented, which provides a new clue for realizing education information sharing and personalization recommendation services of education information.更多还原