Online Data-Mining Search for Multi-dimensional Search Intents

2017 Fiscal Year Final Research Report

• 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
• 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

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.

Free Research Field

情報検索