Abstract
Currently, as the information communicating through the Internet is increasing explosively, recommendation systems are doing quite important roles to help users choose favorable information. With advanced recommendation systems, we are able to get information suitable for our preferences within high accuracy. On the other hand, opportunity to get information that are new to our preferences or thoughts are hidden with silence. this situation is called the Filter Bubble, named by Eli Pariser. He warns us that dangerous situatons encapsulate people into their own interests. Decreasing the opportunity to meet the information that is out of their intersets makes them in the state of polarized society or ideology. This may result in declining their creativity. In thsi study, we are developing the system showing how different the users' search result makes them personalized or not. We will investigate what happens when people awake that they are in the fillter bubble.
