Prediction for users' navigation based on hybrid Markov model
WU Jun-hua · Jisuanji gongcheng yu sheji · 2009
Modeling users' navigation in the web is the key to build many kinds of tools which can help user navigate the web efficiently.The traditional Markov model is simple and practical,but it gives low prediction accuracy and coverage rate,as well as requires high space complexity.The model for interest navigation pattern discovery based on hybrid Markov model is used by expending traditional Markov model and studying the visiting character of user group.This approach is shown to be superior to traditional Markov model in navigation interest.In particular,it is more accurate in prediction and higher coverage rate,especially,it also have lower space complexity.