Development of Information Retrieval Support Systems

2016 Fiscal Year Final Research Report

• Project/Area Number: 25330368
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Research Field: Web informatics, Service informatics
• Research Institution: Ryukoku University
• Principal Investigator: Ma Qing 龍谷大学, 理工学部, 教授 (30358882)
• Project Period (FY): 2013-04-01 – 2017-03-31
• 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

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.

Free Research Field

自然言語処理