Building an Adaptive Site Map Based on Domain and Usage Information

As the World Wide Web matures, it makes leaps forward in both size and complexity. Navigating through a large Web site can become a frustrating exercise. Many sites employ Site Maps to help visitors understand the overall structure of the site. However, static Site Maps show all visitors large amounts of irrelevant content. It is very easy for visitors to get lost in hyperspace. Therefore we propose techniques based on domain and usage information that are specialized to guide and recommend visitors, depending on the importance of pages, frequent visiting patterns and so on. Several algorithms and data mining methods have been applied, such as mining server log for visiting patterns and determining the landmarks among context. . A case study of a Web site is carried out to demonstrate the technique of guiding visitors during their navigation by recommending relevant content.