Clustering e-commerce search engines based on their search interface pages using WISE-cluster

摘要: In this paper, we propose a new approach to clustering e-commerce search engines (ESEs) on the Web. Our utilizes features available interface page of each ESE, including label terms and value appearing in form, number images, normalized price as well other terms. The experimental results based more than 400 ESEs indicate that proposed has good accuracy. importance different types is analyzed form are most important feature obtaining quality clusters.