Intelligent Web Pages Recommendation Based on Dynamic Markov Model
Sheng Zhou · Computer Engineering and Applications Journal · 2006
Markov model has been widely applied for intelligent web page recommendation.Studies show high -order Markov model displays higher recommendation accuracy than low-order model, but its state space complexity is very high.In this paper we propose a novel web page recommendation approach based on dynamic Markov model.Dynamic Markov model makes use of clustering-based state cloning to improve accuracy,meanwhile it can effectively control mo del's space complexity by setting the accuracy threshold.