基于Web挖掘的Portal个性化服务模型的研究及实现

【作者】 吕毅；

【导师】 葛玮；

【作者基本信息】 西北大学 ， 计算机应用技术， 2007， 硕士

【摘要】 随着企业信息化进程的推进，企业内信息系统的应用越来越广泛，在完成业务功能的同时，这些系统的相互独立性也给管理和使用设置了障碍，企业需要一种能为企业提供组织、搜索和获取真正有价值信息的解决方案。正是在这种背景之下，Portal(门户)的内涵由最初的门户网站发展今天的企业信息门户，它帮助用户在获取特定的数据和服务时不需要再进入众多的应用系统，而是经由Portal获得。同时，Pogal作为一种资源整合的框架、一种数据密集型的信息展示窗口，其所蕴含的信息量越来越大、信息之间的结构越来越复杂。如何使用户以一种更加快捷有效的途径获取其所感兴趣的信息，满足用户对个性化服务的需求，是Portal进一步发展的方向，也是企业信息化发展的必然要求。目前，Portal所提供的个性化服务是以用户定制为主，是一种粗粒度的个性化服务。论文在分析了Portal的相关技术以及个性化服务内容和研究现状的基础上，参考了自适应站点的研究成果，给出了使用Web挖掘技术分析Portal中所存在着的大量用户访问数据，进而获取用户访问模式，并以此为基础为用户提供高级别个性化服务的设计实现方案。主要的研究内容如下：●针对Portal自身特点，并结合Web挖掘的处理流程，设计了基于Web挖掘的Portal个性化服务模型的系统结构。●依据Portal系统所产生的用户访问数据的特性，设计了数据预处理算法和实现步骤。●研究了现有的Web挖掘算法，改进了传统的矩阵挖掘算法，考虑用户浏览兴趣度，给出了基于用户浏览兴趣度的User-URL矩阵挖掘算法，它的优点是能够更准确的反映用户的浏览情况。●阐明了模型系统提供个性化服务的内容和产生方式。最后，根据论文的研究成果实现了模型系统，实现了为用户提供个性化服务的目标，并对所得出的结果进行初步的测试分析。更多还原

【Abstract】 With the development of enterprises’ information, information systems are already widely applied in enterprises. When business functions are being performed, the independent of these systems bring various problems to the management and using of these systems. So a solution that can provide management and searching, and get valuable information is needed. Under this circumstance, the essential of Portal had evolved to today’s Enterprise Information Portal from original Portal Website. Enterprise Information Portal helps users to obtain specific data and services without entering systems again. In addition, Portal, as a framework of integrating resources and also an information resource with intensive data, shows more information in a single window, and the structure of the information shows in it become more and more complicated. How will enable users to have a more efficient and effective way to obtain the information they were interested. Personalized services to meet the needs of users is the further development of the Portal direction, is also an inevitable requirement of enterprise information development.Currently, personalized service that Portal provides is based on user’s customization, is a coarse-granularity service. On the basis of analyzing Portal’s relevant technology, as well as the content and research of personalized services of Portal, and research achievements of adaptive websites, this thesis proposes a method of using the web mining technology to analyze users’ visiting data in portal servers so as to get users’ visiting models, based on which Portal can provide high-level personalized services. The main research work as follows:Considering Portal’s own characteristics and the implementation process of web mining, this thesis proposes system architecture of Portal’s personalized services based on web mining.Designs the data reprocessing algorithm and the relevant implementation steps by characteristics of user access data generated by Portal’s system. Researching the existing web mining algorithms to improve the traditional matrix mining algorithm. Considering user’s browsing interest, give based on the user’s browsing interest User-URL matrix algorithm for mining. It has the advantage of being able to more accurately reflect the user’s browsing situation.Explains the model system to provide the content and the way of personalized services.Finally, we implemented the model system by our works presented in the thesis, and achieving the target of providing personalized services for users. Completes preliminary analysis and tests about the results of personalized services.更多还原