| Project/Area Number |
25330368
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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 |
Web informatics, Service informatics
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| Research Institution | Ryukoku University |
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Principal Investigator |
Ma Qing 龍谷大学, 理工学部, 教授 (30358882)
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| Co-Investigator(Kenkyū-buntansha) |
吉見 毅彦 龍谷大学, 理工学部, 准教授 (50368031)
南條 浩輝 京都大学, 学術情報メディアセンター, 准教授 (50388162)
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| Project Period (FY) |
2013-04-01 – 2017-03-31
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| Project Status |
Completed (Fiscal Year 2016)
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| Budget Amount *help |
¥4,940,000 (Direct Cost: ¥3,800,000、Indirect Cost: ¥1,140,000)
Fiscal Year 2016: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2015: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2014: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2013: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
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| Keywords | 検索支援 / 用語予測 / 深層学習 / DBN/SdA / 非構造化文書 / 用語抽出 / カテゴリ推定 / 辞書拡充 / DBN/SdA/word2vec / 関連語・周辺語 / 意味ベクトル / 擬似適合性フィードバック / Deep Learning / DBN / SdA / 関連語 / 周辺語 |
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| Outline of Final Research Achievements |
The current Web search engines have a very high retrieval performance as long as the proper retrieval terms are given. However, many people, particularly children, seniors, and foreigners, have difficulty deciding on the proper retrieval terms for representing the retrieval objects, especially with searches related to technical fields. In this study, we developed a support system that can highly accurately predict suitable retrieval term candidates when some clues such as their descriptive texts or relevant/surrounding words are given by the users, adopting deep learning methods and the latest information retrieval technology.
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