Gards - Information recommendation system which assumes ever changing human preference
|大坪五郎||Goro Otsubo||(株) デンソーアイティーラボラトリ||DENSO IT Laboratory, Inc.|
Researches about information recommendation system, which recommend appropriate information to users based on the estimated human preference, have been conducted. However, many systems do not consider the fact human preference can change so often, and sometimes contradictory. Based upon the assumption that human preference is affected by what the user saw and changes , we developed information recommendation system which shows as many candidates as possible to users rather than make a deep inference about user preference. We conducted brief user test using the system we developed, and observed that user changes preference changes often, and our system effectively support their decision.