Experience Support for Metaverse and its Social Network
| Project/Area Number |
26330421
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Entertainment and game informatics 1
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| Research Institution | Ritsumeikan University |
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Principal Investigator |
THAWONMAS Ruck 立命館大学, 情報理工学部, 教授 (50320122)
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| Project Period (FY) |
2014-04-01 – 2017-03-31
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| Project Status |
Completed (Fiscal Year 2016)
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| Budget Amount *help |
¥4,160,000 (Direct Cost: ¥3,200,000、Indirect Cost: ¥960,000)
Fiscal Year 2016: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
Fiscal Year 2015: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2014: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
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| Keywords | 情報推薦 / 協調フィルタリング / 行列分解 / メタ―バス / Second Life / 不均衡データ / パターン分類 / サポートベクターマシン / メタバース / 不均衡データ問題 / エリア推薦 / リンク予測 / ボット発見 |
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| Outline of Final Research Achievements |
This research project focuses on information recommendation to support activities of novice users in mataverse such as Second Life. In particular, three themes were conducted, namely, (1) exploitation of context information in collaborative filtering, (2) improvement of BMF, a matrix factorization (MF) method with bound constraints, and (3) resolution of imbalanced data for user classification. Seven peer-reviewed papers have been published based on these results. It can be said that our main research objectives have been fulfilled.
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Report
(4 results)
Research Products
(10 results)
