通过搜集搜索引擎用户的个人兴趣偏好，个性化搜索技术能够对搜索结果中的页面进行分析并与用户的兴趣进行比较，帮助用户从中找出更为感兴趣的结果，从而提高用户的搜索效率。通过利用简化的ODP目录层次结构进行训练以建立基本的用户兴趣树型结构，并在模型使用过程中通过用户的隐式操作反馈，对用户兴趣模型进行动态更新以反映用户不断变化的兴趣偏好。这一用户兴趣建模方法以简化的ODP结构为参考框架，并以用户个人的搜索行为作为模型修正和更新的依据，实现消除词条歧义并且表达用户个人兴趣偏好的目的。

Through collecting the search engine user's individual interests, the personalization search technique can analyse the result page and compares with the user's interest, helps the user discover more interested results, thus enhances the search efficiency. Through using the basic structure of ODP, the user carries on the training to establish a basic user interest model, operates the feedback in the model use process through the user's implicit expression, performs the dynamic updating to the user interest model to reflect the user changes unceasingly interest.By using the basic structure of ODP，updating the model with users，search keyword and page browsing and adding weight to the user's different interests，and the user's personalized favorite topics can be clearly expressed.