个性化搜索引擎中用户兴趣模型研究

Research on User Profile in Personalized Search Engine

对个性化搜索引擎中的用户兴趣模型进行了分析研究。首先,分析了现有用户兴趣模型的不足,指出了用户兴趣模型的基本结构,对用户兴趣模型的特征提取采用基于词频统计的TF-IDF算法;然后,利用用户的短期兴趣和长期兴趣建立用户兴趣模型,并分别对其进行了更新优化;最后,提出了个性化搜索引擎的具体工作过程。

The user profile in personalized search engine is analyzed and researched in this paper. Firstly, the deficiencies of the existing user profile is analyzed, then the basic structure of the user profile is pointed out. The term frequency-in- verse document frequency algorithm based on word frequency statistics is applyed in the feature extraction of user profile. Secondly, the user profile is established using the use＇s short-terminterest and the long-term interest, and separately on the update adn optimization. Finally, the specific work process of the personalized search engine is put forward.