¹Shengda Economics Trade & Management College, Zhengzhou University, Zhengzhou, China 451191
²School of Information Engineering, Zhengzhou University, Zhengzhou, China 450001
³School of Software, Zhengzhou University, Zhengzhou, China 450002
⁴School of Computer and Information Technology, Xinyang Normal University, Xinyang, China 464000

---

Abstract—The essence of Web prefetching is the construct of prediction algorithm and prefetching control. And the heart of Web prefetching is the prediction model, which is mainly classified into two main categories according to the data structure taken into account to make the prediction, namely PPM model and DG model. Although PPM model has higher predictive accuracy, it occupies large storage space. Although DG prediction algorithm can overcome PPM’s shortcoming, it can’t distinguish the initial weight of different order and do not take into account how web pages are structured, so its prediction accuracy is lower. Therefore, an improved prediction model is proposed to remedy the above defects. Experimental results show that the improved model can save the storage space and enhance higher prediction precision for the pages which have a high amount of embedded objects.

Index Terms—Web prefetching, Web prediction, DG model, PPM model

[PDF]

Cite: Bin Liu, Haizhen Shi, Lei Shi, Lin Wei, Zhanhong Wang, "A Web Predictive Model Based on Dependency Graph," Journal of Software vol. 6, no. 9, pp. 1829-1836, 2011.