Analysis of User’s Browsing Microblog

The behavior of the users in the microblog is often influenced by factors such as age, education and so on. In this paper, the conditional Markov model in a particular situation is established to analyze the behavior of users in the microblog. The method of conditional transition probability calculation is analyzed and the conditional transfer matrix is established. The matrix is a sparse matrix which can be represented by list of 4-tuples. The method of removing the invalid data is used in data processing, which makes the data more reflect the common characteristics of users. In conditional Markov model, the scope of sample space is narrowed and characteristics are reflected accurately by the random events. Therefore, the prediction of the users' browsing microblog will be more accurate.