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Improved Hashtag Recommendation Algorithm Determining Appropriate Hashtags for Words with Different Meanings
http://hdl.handle.net/2237/0002011895
http://hdl.handle.net/2237/00020118958690fd57-167f-44b9-a948-e8f517516c0f
| 名前 / ファイル | ライセンス | アクション |
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| アイテムタイプ | itemtype_ver1(1) | |||||||||
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| 公開日 | 2025-01-21 | |||||||||
| タイトル | ||||||||||
| タイトル | Improved Hashtag Recommendation Algorithm Determining Appropriate Hashtags for Words with Different Meanings | |||||||||
| 言語 | en | |||||||||
| 著者 |
Kamino, Etsutaro
× Kamino, Etsutaro
× Kita, Eisuke
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| アクセス権 | ||||||||||
| アクセス権 | open access | |||||||||
| アクセス権URI | http://purl.org/coar/access_right/c_abf2 | |||||||||
| 権利 | ||||||||||
| 権利情報 | This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/10.1007/s12626-024-00173-3 | |||||||||
| 言語 | en | |||||||||
| 内容記述 | ||||||||||
| 内容記述タイプ | Abstract | |||||||||
| 内容記述 | In image-posting social networking services, such as Instagram, recommendation of appropriate hashtags for posts is vital. In the existing methods, a hashtag is searched using the names of object labels included in images added to posts as hashtags, and a relevance prediction model is applied to hashtags that appear most frequently among those attached to posts obtained from the search. Hashtags that are considered highly relevant to the post are then recommended to the user. However, it is difficult to recommend adequate hashtags relevant to a post containing a label that refers to different objects, such as “mouse,” which can refer to a “computer input device” and an “animal.” In this study, we developed algorithms (Algorithms 1 and 2) that employ additional labels related to object labels in posts to solve this problem. As additional labels, Algorithm 1 uses the other labels in the same object category in the Microsoft Common Objects in Context (COCO) image database, and Algorithm 2 uses words translated into six other languages. We also developed Algorithm 3, which is a hybrid of Algorithms 1 and 2. Based on user questionnaires, the hashtags suggested by Algorithms 1 and 2 are highly relevant to the posts: compared to an existing algorithm, the relevance of the hashtags improved by 18% and 64%, respectively. | |||||||||
| 言語 | en | |||||||||
| 内容記述 | ||||||||||
| 内容記述タイプ | Other | |||||||||
| 内容記述 | Online Published: 17 September 2024 | |||||||||
| 言語 | en | |||||||||
| 出版者 | ||||||||||
| 出版者 | Springer | |||||||||
| 言語 | en | |||||||||
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| 言語 | eng | |||||||||
| 資源タイプ | ||||||||||
| 資源タイプresource | http://purl.org/coar/resource_type/c_6501 | |||||||||
| タイプ | journal article | |||||||||
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| 出版タイプ | AM | |||||||||
| 出版タイプResource | http://purl.org/coar/version/c_ab4af688f83e57aa | |||||||||
| 関連情報 | ||||||||||
| 関連タイプ | isVersionOf | |||||||||
| 識別子タイプ | DOI | |||||||||
| 関連識別子 | https://doi.org/10.1007/s12626-024-00173-3 | |||||||||
| 収録物識別子 | ||||||||||
| 収録物識別子タイプ | PISSN | |||||||||
| 収録物識別子 | 2523-3173 | |||||||||
| 書誌情報 |
en : The Review of Socionetwork Strategies 巻 19, p. 1-17, 発行日 2025-04 |
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| ファイル公開日 | ||||||||||
| 日付 | 2025-09-17 | |||||||||
| 日付タイプ | Available | |||||||||