| Project/Area Number |
15K20990
|
|---|
| Research Category |
Grant-in-Aid for Young Scientists (B)
|
| Allocation Type | Multi-year Fund |
|---|
| Research Field |
Multimedia database
Intelligent informatics
|
|---|
| Research Institution | Tokyo Institute of Technology |
|---|
Principal Investigator |
Keyaki Atsushi 東京工業大学, 情報理工学院, 助教 (00733958)
|
|---|
| Project Period (FY) |
2015-04-01 – 2018-03-31
|
| Project Status |
Completed (Fiscal Year 2017)
|
| Budget Amount *help |
¥4,030,000 (Direct Cost: ¥3,100,000、Indirect Cost: ¥930,000)
Fiscal Year 2016: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
Fiscal Year 2015: ¥2,080,000 (Direct Cost: ¥1,600,000、Indirect Cost: ¥480,000)
|
|---|
| Keywords | タスク指向型情報検索 / 部分文書検索 / クエリの品詞解析 / コピュラ / MobileClick / タスク指向型情報検索システム / Webクエリ / タスク推定 / タスク難易度 / スコア統合 / タスク指向型検索システム / NTCIR / 検索意図 / クエリ / 品詞 |
|---|
| Outline of Final Research Achievements |
In this project, we aimed at materializing a task-oriented information retrieval system. For the purpose, we proposed an accurate element-based retrieval method for Web documents, an accurate part-of-speech tagging method for Web queries, and an accurate information integration method for heterogeneous information sources. Additionally, we conducted per-task analysis and revealed difficulty and appropriate information granularity for search results of each task. As the results of this project, we made substantial progress to materialize a task-oriented information retrieval system.
|
