User Quantity Computation Model of Web Topic
Zhu Guangli, Shunxiang Zhang · Jisuanji gongcheng · 2011
This paper presents a model for computing user quantity of Web topic which is based on Web data mining.It mines users usage record from Web server access log,applies the method of window function to identify the multi-users of a terminal owning identical IP,and analyzes the timing character of Web users' behavior to filter the fraud data.The user interesting vector is constructed which can reflect the reading preference of a user in some extent,the Web users quantity of a Web topic in given time span can be calculated.Experimental results show that the model has the high accuracy,it can provide targeted decision support for administrators.