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Discover “Anaba” Sightseeing Spots Using Social Images
https://ipsj.ixsq.nii.ac.jp/records/94338
https://ipsj.ixsq.nii.ac.jp/records/9433856d3b0ec-e4b8-4fc7-9bf3-acf6af7ca544
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
IPSJ-IFAT13111009.pdf (1.0 MB)
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Copyright (c) 2013 by the Information Processing Society of Japan
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| オープンアクセス | ||
| Item type | SIG Technical Reports(1) | |||||||
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| 公開日 | 2013-07-15 | |||||||
| タイトル | ||||||||
| タイトル | Discover “Anaba” Sightseeing Spots Using Social Images | |||||||
| タイトル | ||||||||
| 言語 | en | |||||||
| タイトル | Discover “Anaba” Sightseeing Spots Using Social Images | |||||||
| 言語 | ||||||||
| 言語 | eng | |||||||
| キーワード | ||||||||
| 主題Scheme | Other | |||||||
| 主題 | 情報検索 | |||||||
| 資源タイプ | ||||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_18gh | |||||||
| 資源タイプ | technical report | |||||||
| 著者所属 | ||||||||
| Graduate School of Informatics, Kyoto University | ||||||||
| 著者所属 | ||||||||
| Graduate School of Informatics, Kyoto University | ||||||||
| 著者所属 | ||||||||
| Graduate School of Informatics, Kyoto University | ||||||||
| 著者所属 | ||||||||
| Graduate School of Informatics, Kyoto University | ||||||||
| 著者所属(英) | ||||||||
| en | ||||||||
| Graduate School of Informatics, Kyoto University | ||||||||
| 著者所属(英) | ||||||||
| en | ||||||||
| Graduate School of Informatics, Kyoto University | ||||||||
| 著者所属(英) | ||||||||
| en | ||||||||
| Graduate School of Informatics, Kyoto University | ||||||||
| 著者所属(英) | ||||||||
| en | ||||||||
| Graduate School of Informatics, Kyoto University | ||||||||
| 著者名 |
Chenyi, Zhuang
× Chenyi, Zhuang
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| 著者名(英) |
Chenyi, Zhuang
× Chenyi, Zhuang
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| 論文抄録 | ||||||||
| 内容記述タイプ | Other | |||||||
| 内容記述 | Discovering diverse sightseeing resources is addressed more attentions to meet the increasing demand from personalized tour. “Anaba” spot is one of them which is less well-known but still worth visiting. In this paper, we propose a novel method of using social geo-tagged images to discover “Anaba” spots. We first select possible candidates according to the visiting frequency asymmetry of photographers. Then, we evaluate the sightseeing score of each candidate by considering both social support and content quality of images shot around there. We will demonstrate the effectiveness of proposed approach on a collection of 3293 Flickr images. | |||||||
| 論文抄録(英) | ||||||||
| 内容記述タイプ | Other | |||||||
| 内容記述 | Discovering diverse sightseeing resources is addressed more attentions to meet the increasing demand from personalized tour. “Anaba” spot is one of them which is less well-known but still worth visiting. In this paper, we propose a novel method of using social geo-tagged images to discover “Anaba” spots. We first select possible candidates according to the visiting frequency asymmetry of photographers. Then, we evaluate the sightseeing score of each candidate by considering both social support and content quality of images shot around there. We will demonstrate the effectiveness of proposed approach on a collection of 3293 Flickr images. | |||||||
| 書誌レコードID | ||||||||
| 収録物識別子タイプ | NCID | |||||||
| 収録物識別子 | AN10114171 | |||||||
| 書誌情報 |
研究報告情報基礎とアクセス技術（IFAT） 巻 2013-IFAT-111, 号 9, p. 1-6, 発行日 2013-07-15 |
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| Notice | ||||||||
| SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc. | ||||||||
| 出版者 | ||||||||
| 言語 | ja | |||||||
| 出版者 | 情報処理学会 | |||||||
