doi: 10.4304/jsw.6.9.1829-1836
A Web Predictive Model Based on Dependency Graph
- 1 Shengda Economics Trade & Management College, Zhengzhou University, Zhengzhou, China 451191
- 2 School of Information Engineering, Zhengzhou University, Zhengzhou, China 450001
- 3 School of Software, Zhengzhou University, Zhengzhou, China 450002
- 4 School 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.
Keywords
- Web prefetching
- Web prediction
- DG mode
How to Cite
Bin Liu, Haizhen Shi, Lei Shi, Lin Wei, and Zhanhong Wang, "A Web Predictive Model Based on Dependency Graph," Journal of Software, vol. 6, no. 9, pp. 1829-1836, 2011. https://doi.org/ 10.4304/jsw.6.9.1829-1836
Copyright & License
Copyright © 2011 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).