A research on measuring quality of information using collective intelligence
Project/Area Number |
23700113
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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 | Nara Institute of Science and Technology (2014-2015) Nagoya University (2011-2013) |
Principal Investigator |
Suzuki Yu 奈良先端科学技術大学院大学, 情報科学研究科, 特任准教授 (40388111)
|
Project Period (FY) |
2011-04-28 – 2016-03-31
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Project Status |
Completed (Fiscal Year 2015)
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Budget Amount *help |
¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000)
Fiscal Year 2014: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2013: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2012: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2011: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
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Keywords | 質 / Wikipedia / 内部要因 / 外部要因 / 編集行動解析 / 集合知 / ソーシャルメディア / クラウドソーシング / グループウェア / 協調作業 / 情報の質 / 信頼度 / 編集履歴 / リンク解析 |
Outline of Final Research Achievements |
In the Web, there are many types of, a lot amount of data. This is because, many persons publish information on the Web, which is called UGC (User Generated Contents). Generally, the quality of these information vary, but the quality should be lower than reviewed contents. In this research, we automatically measure the quality of Web contents using the outside element and the inside element of the information.
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Report
(6 results)
Research Products
(28 results)