Automatic Information Extraction from E-Commerce Web Sites
With the rapid development of e-commerce, online transactions has become an important part in people's lives, in order to support the smooth development of e-commerce activities, how to provide users with efficient and practical product information has become an urgent and critical problem. This paper presents a set of novel techniques based on page similarity measure, page clustering and wrapper generation to automatically extract data from E-Commerce web sites. Experiments on real web sources show the effectiveness of the proposed technique.