| Budget Amount *help |
¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000)
Fiscal Year 2011: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2010: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
Fiscal Year 2009: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
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| Research Abstract |
In this project, we planed to address a start-up problem, which means the poor prediction accuracy of recommendation systems for new users or new items. For this purpose, we developed a TrBagg algorithm, which utilizes information of other users' data. We tested this algorithm on a tag recommendation task and succeeded to improve the prediction accuracy. We also tried to settle other problems related to recommender systems.
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