【作者】 张敏；

【导师】 禹农；

【作者基本信息】 山东科技大学 ， 计算机应用技术， 2004， 硕士

【摘要】 随着Internet的迅猛发展，网上的信息急剧膨胀，搜索引擎在网络信息资源查找中起到了相当重要的作用，但由于其通用的性质，仍然不能满足不同背景、不同目的和不同时期的查询请求。针对用户特性并向用户提供个性化服务已经成为Web技术的一个研究热点。Web挖掘是实现Web个性化服务的关键技术之一。 本文首先分析了搜索引擎的现状，指出了研究个性化信息检索的重要意义；接着对传统的信息检索技术进行了综述，分析研究了Web信息检索系统的层次分类，搜索引擎的基本结构与工作原理，探讨了搜索引擎的发展方向；然后介绍了Web挖掘的定义、任务和分类，分析研究了Web挖掘与传统信息检索的关系及在搜索引擎中的应用技术。在以下理论研究的基础上，着重对个性化信息检索的关键技术进行了探讨，提出了构建、更新用户兴趣模型及实现个性化搜索的方法，设计了一个基于Web挖掘的个性化信息检索系统(PIRS)，并对有关的功能模块进行了详细的说明，详细分析了PIRS的性能特点：灵活的检索方式和个性化的查询结果；最后对本文所做的工作进行了总结并对个性化信息检索的发展进行了探讨。更多还原

【Abstract】 With the development of Internet rapidly, the information on Internet is creasing dramatically. SE plays a very important role in searching information on Web. However, for its all-purpose characteristics, they can’t satisfy the query from the different background, with the different intention and at different time. It has been a research hotspot in Web technologies to provide personalized services according to user profiles. Web mining is one of the key technologies of Web personalization.Firstly, this dissertation analyzes and studies the current status of SE, points out the significance of studying personalized information retrieval. Then it overviews the the technologies of traditional information retrieval, researches the hierarchical classifications of Web information retrieval systems (IRS), and the basic structure and principle of SE, probes the directions of the development of SE. Secondly, the dissertation introduces the definition and tasks of Web mining, studies and analyzes the relation between Web mining and traditional information retrieval and the applications of Web mining in SE, Based on the above theories, the dissertation researches the key technologies about personalized information retrieval especially, presents the methods of constructing and renewing the methods of user interest model and realizing personalized searching, designs a personalized information retrieval(PIRS) based on Web mining, and describes the relative function modules in detail, and its characteristic, which has flexible retrieval pattern and personalized results. Finally, a summarization about this dissertation is made and discusses the prospects about personalized information retrieval.更多还原