Project/Area Number |
15H01718
|
Research Category |
Grant-in-Aid for Scientific Research (A)
|
Allocation Type | Single-year Grants |
Section | 一般 |
Research Field |
Web informatics, Service informatics
|
Research Institution | Kyoto University |
Principal Investigator |
TANAKA KATSUMI 京都大学, 情報学研究科, 名誉教授 (00127375)
|
Co-Investigator(Kenkyū-buntansha) |
Adam Jatowt 京都大学, 情報学研究科, 特定准教授 (00415861)
加藤 誠 京都大学, 国際高等教育院, 特定講師 (00646911)
山本 岳洋 京都大学, 情報学研究科, 助教 (70717636)
大島 裕明 兵庫県立大学, 応用情報科学研究科, 准教授 (90452317)
|
Project Period (FY) |
2015-04-01 – 2018-03-31
|
Project Status |
Completed (Fiscal Year 2017)
|
Budget Amount *help |
¥43,550,000 (Direct Cost: ¥33,500,000、Indirect Cost: ¥10,050,000)
Fiscal Year 2017: ¥8,450,000 (Direct Cost: ¥6,500,000、Indirect Cost: ¥1,950,000)
Fiscal Year 2016: ¥16,510,000 (Direct Cost: ¥12,700,000、Indirect Cost: ¥3,810,000)
Fiscal Year 2015: ¥18,590,000 (Direct Cost: ¥14,300,000、Indirect Cost: ¥4,290,000)
|
Keywords | 情報検索 / データマイニング / ウェブ / 機械学習 / 検索エンジン / 検索意図 / ウェブマイニング / 情報信頼性 |
Outline of Final Research Achievements |
We developed several search algorithms, which can cope with a variety of search intents. Also, we developed aggregate search algorithms, which searches for aggregate information. We first classify search intents, and then developed the following search methods: (1) We developed and evaluated data mining/machine learning algorithms, which discover executable queries for given search intents. (2) We developed and evaluated aggregate search algorithms (including diversity computation and ranking), which searches for "aggregate" information.
|