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Toward action comprehension for searching : Mining actionable intents in query entities
https://tokushima-u.repo.nii.ac.jp/records/2011016
https://tokushima-u.repo.nii.ac.jp/records/2011016b0fe2622-ebdf-4724-970e-82006f1c1ef7
名前 / ファイル | ライセンス | アクション |
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Item type | 文献 / Documents(1) | |||||||||||||||||
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公開日 | 2023-07-21 | |||||||||||||||||
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アクセス権 | open access | |||||||||||||||||
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資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||||||||||||||
資源タイプ | journal article | |||||||||||||||||
出版社版DOI | ||||||||||||||||||
関連識別子 | https://doi.org/10.1002/asi.24220 | |||||||||||||||||
関連名称 | 10.1002/asi.24220 | |||||||||||||||||
出版タイプ | ||||||||||||||||||
出版タイプ | AM | |||||||||||||||||
出版タイプResource | http://purl.org/coar/version/c_ab4af688f83e57aa | |||||||||||||||||
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タイトル | Toward action comprehension for searching : Mining actionable intents in query entities | |||||||||||||||||
タイトル別表記 | ||||||||||||||||||
その他のタイトル | MINING ACTIONABLE INTENTS IN QUERY ENTITIES | |||||||||||||||||
著者 |
康, 鑫
× 康, 鑫× 呉, 雨濃
× 任, 福継
WEKO
401
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内容記述 | Understanding search engine users’ intents has been a popular study in information retrieval, which directly affects the quality of retrieved information. One of the fundamental problems in this field is to find a connection between the entity in a query and the potential intents of the users, the latter of which would further reveal important information for facilitating the users’ future actions. In this paper, we present a novel research for mining the actionable intents for search users, by generating a ranked list of the potentially most informative actions based on a massive pool of action samples. We compare different search strategies and their combinations for retrieving the action pool and develop three criteria for measuring the informativeness of the selected action samples, i.e. the significance of an action sample within the pool, the representativeness of an action sample for the other candidate samples, and the diverseness of an action sample with respect to the selected actions. Our experiment based on the Action Mining (AM) query entity dataset from Actionable Knowledge Graph (AKG) task at NTCIR-13 suggests that the proposed approach is effective in generating an informative and early-satisfying ranking of potential actions for search users. | |||||||||||||||||
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主題 | Action mining | |||||||||||||||||
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主題 | actionable knowledge | |||||||||||||||||
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主題 | actionable intent ranking | |||||||||||||||||
書誌情報 |
en : Journal of the Association for Information Science and Technology 巻 71, 号 2, p. 143-157, 発行日 2019-04-21 |
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収録物識別子タイプ | ISSN | |||||||||||||||||
収録物識別子 | 23301643 | |||||||||||||||||
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収録物識別子タイプ | ISSN | |||||||||||||||||
収録物識別子 | 23301635 | |||||||||||||||||
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収録物識別子タイプ | NCID | |||||||||||||||||
収録物識別子 | AA12809117 | |||||||||||||||||
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収録物識別子タイプ | NCID | |||||||||||||||||
収録物識別子 | AA12659739 | |||||||||||||||||
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出版者 | Wiley | |||||||||||||||||
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出版者 | Association for Information Science & Technology | |||||||||||||||||
権利情報 | ||||||||||||||||||
権利情報 | This is the peer reviewed version of the following article: Kang, X., Wu, Y., Ren, F., Toward action comprehension for searching : Mining actionable intents in query entities. Journal of the Association for Information Science and Technology, 71, 2, 143-157., which has been published in final form at https://doi.org/10.1002/asi.24220. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions. This article may not be enhanced, enriched or otherwise transformed into a derivative work, without express permission from Wiley or by statutory rights under applicable legislation. Copyright notices must not be removed, obscured or modified. The article must be linked to Wiley’s version of record on Wiley Online Library and any embedding, framing or otherwise making available the article or pages thereof by third parties from platforms, services and websites other than Wiley Online Library must be prohibited. | |||||||||||||||||
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識別子 | 351176 | |||||||||||||||||
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言語 | eng |