基于用户兴趣的个性化模型研究

Research of Individualized Model Based on User Interests

大多数搜索引擎没有考虑到用户的个性和兴趣,大大降低了搜索的准确性。采用Web挖掘技术对存放在Web缓存中的历史页面进行挖掘,获取用户的兴趣信息,使用最优二叉树的形式来表示用户兴趣,利用获取的用户兴趣信息来构建个性化模型,并且利用智能Agent跟踪用户的兴趣变化,不断地对用户兴趣个性化模型进行更新。

Most search engines can only carry out user inquiry demand without the consideration of the user individuality and interests. To solve the problem in today＇s search engine systems. This paper adopts the Web Mining Technology to detect the historical pages in the Web buffer so as to gain the user interest information, which will be indicated in the optimal two fork tree＇s form. The computer will utilize the intelligent agent to track user＇s interest change and renew the user individualized interest＇s model continuously. Then the individualized interest search of the user can be achieved.