A Research of the Internet Based on Web Information Extraction and Data Fusion

Yajun Jiang, Zaoliang Wu, Zengrong Zhan, Lingyu Xu

Abstract: This paper proposes a strategy to personalized the Internet searching, which would help to filter, extract and integrate the massive information from the web based on the specific user requirements in the hopes that it can relieve them from the tedious process of manually selecting and retrieving the relevant information as well as the confusion caused by the inconsistencies of the information. The strategy proposed in this paper has been applied to the searching of the laptop product information and the result shows a much less human effort involved and a much more accurate price range.