基于用户相似度计算的导航类意图分类研究

Study on the Classification for Navigation Query Intention Based on User Similarity Calculation

针对用户会话相似度计算中,忽视了用户在某会话中对页面感兴趣的程度这一问题,提出了用户会话系数AvgI(p),并结合雅可比相似系数、CM系数给出了一种新的用户会话兴趣度的计算方法。在此基础之上,结合W eb内容、格式进一步对导航类查询用户意图的信息需求进行分析,并分类为直接导航和间接导航2类,给出了具体算法。实验结果表明,该算法不仅能很好地自动分类导航类用户意图,而且能基于该意图提供相关搜索结果以及进一步的搜索导航。

This paper presents the coefficient of users＇ sessions AvgI（p） according to the problem for neglecting the users＇ level of interest in the page in some session,which is in the calculation of users＇ session similarity.Also,it introduces a new calculation method for the level interest of users＇ sessions,combining Jacobian similarity coefficient,CM coefficient.On this basis,combining with Web content and format,the authors give its algorithm through further analysis of the information needs of the user intention and classification of two types of navigation,i.e.,direct navigation and indirect navigation.Experimental results show that the algorithm can automatically acquire users＇ search intentions under navigation,and provide relevant results and further navigation based on the intentions.