Development of Interaction Model for Triggering Users' Notice in Recommender Systems
Project/Area Number |
24700091
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Research Category |
Grant-in-Aid for Young Scientists (B)
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Allocation Type | Multi-year Fund |
Research Field |
Media informatics/Database
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Research Institution | Osaka University |
Principal Investigator |
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Project Period (FY) |
2012-04-01 – 2015-03-31
|
Project Status |
Completed (Fiscal Year 2014)
|
Budget Amount *help |
¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000)
Fiscal Year 2014: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2013: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2012: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
|
Keywords | 情報推薦 / ユーザプロファイル / 気づき / 推薦システム / 推薦リスト / 意外性 / 予測評価値 / 可視化 / 汎化 / 詳細化 / 意思決定 / 機械学習 |
Outline of Final Research Achievements |
Recent research trends in recommender systems is the improvement on the overall services including recommendation process. We especially focused on users' notices while using recommender systems. If the acquired user profile is shown to the user, he might conceive some notices on his preference because user profiles are constructed implicitly based on the users' usual activities such as browsing and shopping. In this study, we investigated the relationship between the visualization of user profiles and their notices on their preferences. The results shows that users could obtain the discovery on their own interest or preference. Some of them are novel and important to the user.
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Report
(4 results)
Research Products
(9 results)