Extraction of Feature Information and Noise Reduction Strategies for Web Pages

With the arrival of the information society, everyone can become a producer and disseminator of information, which makes the webpage information resources greatly enriched. The explosive growth of web information also brings new challenges, the influx of massive information makes the acquisition and processing of information more difficult. People often spend a lot of energy to find the target resources that meet their needs in the vast sea of web pages, and there is an urgent need to explore more real-time, dynamic, accurate, personalized target resource positioning and extraction methods to meet the user's personalized needs. In this paper, we propose to construct a web page traversal algorithm to extract target information, and use and tuning algorithms to reduce the noise of the extracted information, so as to achieve high efficiency automated web page information processing.