Effective Mobile Search Using Element-based Retrieval

• Item type: Trans(1)
• 公開日: 2017-10-05
• タイトル: Effective Mobile Search Using Element-based Retrieval
• タイトル / 言語: en
• タイトル: Effective Mobile Search Using Element-based Retrieval
• 言語: eng
• キーワード / 主題Scheme: Other
• キーワード / 主題: [研究論文] mobile information retrieval, element-based retrieval, MobileClick, iUnit
• 資源タイプ / 資源タイプ識別子: http://purl.org/coar/resource_type/c_6501
• 資源タイプ: journal article
• 著者所属: Tokyo Institute of Technology
• 著者所属: Tokyo Institute of Technology
• 著者所属: Doshisha University
• 著者所属(英): en
• 著者所属(英): Tokyo Institute of Technology
• 著者所属(英): en
• 著者所属(英): Tokyo Institute of Technology
• 著者所属(英): en
• 著者所属(英): Doshisha University
• 著者名: Atsushi, Keyaki; Jun, Miyazaki; Kenji, Hatano
• 著者名(英): Atsushi, Keyaki; Jun, Miyazaki; Kenji, Hatano
• 論文抄録 / 内容記述タイプ: Other
• 論文抄録 / 内容記述: We applied an element-based retrieval approach in this study to improve search accuracy for information retrieval on small screen devices. Finer-grained retrieval units compared with document granules are expected in mobile information retrieval because of limited screen size. An information retrieval system employing information units (iUnits), i.e., text fragments that are relevant to a query and atomic in interpreting information, is one of the solutions to finer-grained retrieval units. An iUnit-based mobile information retrieval task, called MobileClick, assumes two-layered information access where the most important iUnits are arranged in the first layer and detailed iUnits for individual intents are arranged in the second layer. This two-layered information access enabled useful information to be presented with fewer page transitions. We first adopt element-based retrieval to identify elements containing relevant descriptions in a document to tackle MobileClick. The next step is scoring the iUnits where we assigned higher scores to iUnits that are similar to elements with higher scores. Our experimental evaluations demonstrated that our method is more accurate than a baseline by 9.7%.; ------------------------------; This is a preprint of an article intended for publication Journal of; Information Processing(JIP). This preprint should not be cited. This; article should be cited as: Journal of Information Processing Vol.25(2017) (online); ------------------------------
• 論文抄録(英) / 内容記述タイプ: Other
• 論文抄録(英) / 内容記述: We applied an element-based retrieval approach in this study to improve search accuracy for information retrieval on small screen devices. Finer-grained retrieval units compared with document granules are expected in mobile information retrieval because of limited screen size. An information retrieval system employing information units (iUnits), i.e., text fragments that are relevant to a query and atomic in interpreting information, is one of the solutions to finer-grained retrieval units. An iUnit-based mobile information retrieval task, called MobileClick, assumes two-layered information access where the most important iUnits are arranged in the first layer and detailed iUnits for individual intents are arranged in the second layer. This two-layered information access enabled useful information to be presented with fewer page transitions. We first adopt element-based retrieval to identify elements containing relevant descriptions in a document to tackle MobileClick. The next step is scoring the iUnits where we assigned higher scores to iUnits that are similar to elements with higher scores. Our experimental evaluations demonstrated that our method is more accurate than a baseline by 9.7%.; ------------------------------; This is a preprint of an article intended for publication Journal of; Information Processing(JIP). This preprint should not be cited. This; article should be cited as: Journal of Information Processing Vol.25(2017) (online); ------------------------------
• 書誌レコードID / 収録物識別子タイプ: NCID
• 書誌レコードID / 収録物識別子: AA11464847
• 書誌情報: 情報処理学会論文誌データベース（TOD）; 巻 10, 号 3, 発行日 2017-10-05
• ISSN / 収録物識別子タイプ: ISSN
• ISSN / 収録物識別子: 1882-7799
• 出版者 / 言語: ja
• 出版者: 情報処理学会