Computer Science ›› 2011, Vol. 38 ›› Issue (5): 175-177.

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Research of iJser Interest Drift Pattern Based on Web Access Information

MA Li,TAN Wei, LI Pei   

  • Online:2018-11-16 Published:2018-11-16

Abstract: Focused on the phenomenon that the visited interest of user would change with time,a model of mining user's interest drift pattern was proposed. Abstracted the visited interest of user into a time sequence with the method of hidden Markov,which was used to reflect the sectuential features of the user interest. Used GSP algorithm to mine the drift of user's visited interest pattern from the interested sequence of user. At last,verificd the feasibility of the given model using the simulation experiments, and the model could give a deeper description of the draft of the visited interest on the attribute of time.

Key words: User interest drift pattern, Hidden markov model, Secauential pattern mining

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