Suggestion of the Method of Identifying Internet User's Interesting Range by Using Architectonics

Abstract

There are many services in the internet by appearance of web 2.0. Users don't have many ways to obtain useful information for themselves, while there are huge quantities of information. To assist that users find useful information, recommendation system is existing. However, current recommendation system is not considering user's interest. Therefore, we focus attention on the user's interest range. If user's interest range could be identified, it could expect that it is able to recommend more useful information for user. To identify user's interest range, we used the data of the Open Directory Project (ODP). In this thesis, we propose the method of identifying the user's interest range, and discuss usefulness of our method.