Prediction of the intention of purchase of the user surfing on the Web using hidden Markov model

To predict the intention of the user on the Internet is more important for the e-business. This paper is the first one applying the hidden Markov model, the stochastic tool used in information extraction, in predicting the behavior of the users on the Web. We collect the log of Web servers, clean the data and patch the paths that the users pass by. Based on the HMM, we construct a specific model for the Web browsing that can predict whether the users have the intention to purchase in real time. The related measures, such as speeding up the operation, kindly guide and other comfortable operations, can take effects when a user is in a purchasing mode. The simulation shows that our model can predict the purchase intention of uses with a high accuracy.