“…The PPM (Prediction by Partial Match) prediction models [3][4][5][6][7][8][9][10][11][12][13][14] based on tree-like structure belong to multiple highorder Markov models; the DG(Dependency Graph) models [15][16][17][18][19][20]based on graphlike structure belong to 1-order Markov models. In many applications, first-order Markov models are not very accurate in predicting the user's browsing behaviors, since these models do not look far into the past to correctly discriminate the different observed patterns.…”
“…The PPM (Prediction by Partial Match) prediction models [3][4][5][6][7][8][9][10][11][12][13][14] based on tree-like structure belong to multiple highorder Markov models; the DG(Dependency Graph) models [15][16][17][18][19][20]based on graphlike structure belong to 1-order Markov models. In many applications, first-order Markov models are not very accurate in predicting the user's browsing behaviors, since these models do not look far into the past to correctly discriminate the different observed patterns.…”
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