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| ファイル | 記述 | サイズ | フォーマット | |
|---|---|---|---|---|
| 2820783.2820875.pdf | 118.37 kB | Adobe PDF | 見る/開く |
| タイトル: | Location familiarity based flickr photographer classification for POI mining |
| 著者: | Zhuang, Chenyi Ma, Qiang   https://orcid.org/0000-0003-3430-9244 (unconfirmed)Yoshikawa, Masatoshi https://orcid.org/0000-0002-1176-700X (unconfirmed) |
| 著者名の別形: | 馬, 強 吉川, 正俊 |
| キーワード: | User profiling Location familiarity Geo-tagged image Probabilistic model Social network |
| 発行日: | 3-Nov-2015 |
| 出版者: | Association for Computing Machinery, Inc. (ACM) |
| 誌名: | GIS '15: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems |
| 論文番号: | 84 |
| 抄録: | In this paper, we propose and compare three ways of modeling photographers' location familiarity: a social network driven model, a time driven model and a location driven model. Then, the integration of the three models is further discussed. Experimental evaluations and analysis on a real data set consisting of 14, 112 images collected from three cities well demonstrate the performance of the proposed classification methods. Many applications could benefit from information about the location familiarity, such as personalized geo-social recommendation, epidemic dispersion, urban computing, and so on. |
| 著作権等: | © ACM, 2015. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in "GIS '15, Article No. 84", http://dx.doi.org/10.1145/2820783.2820875. この論文は出版社版でありません。引用の際には出版社版をご確認ご利用ください。 This is not the published version. Please cite only the published version. |
| URI: | http://hdl.handle.net/2433/217603 |
| DOI(出版社版): | 10.1145/2820783.2820875 |
| 出現コレクション: | 学術雑誌掲載論文等 |
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