Research Of Web Page Purifying Method Based On Document Object Model

A commercial web page typically contains many information blocks. Apart from themain content blocks, it usually has such blocks as navigation panels, copyright and privacynotices, and advertisements for business purposes and for easy user access. We call theseblocks that are not the main content blocks of the page the noisy blocks. We show that theinformation contained in these noisy blocks can seriously harm Web data mining. Detectingand eliminating these noises is thus of great importance.This thesis proposes a new page segmentation model called DSS_DOM based on thefollowing observation: many popular commercial web pages are designed with the help of