A support system for smart selection and examination of initial focus pages in Web exploration

This research aims to realize a Web exploration support by dynamic presentation of useful pages in accordance with a user's behaviors of page selection. At first, Authors develop a method to extract user's intentions of exploration based on his/her initial focus pages. Authors also develop an algorithm to estimate potential of usefulness of unchecked pages using the extracted intentions. Then, authors design a support system for Web exploration introducing these methods. This system provides smart interface for easy operation of page selections. This system also presents the potential of usefulness of each page to a user visually by color-classification so that he/she can intuitively understand it. Consequently, this system enables efficient selection and examination of initial focus pages.