Discovering popular point of interests for tourism with appropriate names from social data analysis

研究成果: 著書/レポートタイプへの貢献会議での発言

抄録

This paper proposes a method for determining an appropriate names of popular POIs (Point of Interests) obtained in a clustering-based social spatial data analysis. The proposed method utilizes several reverse geocoding APIs, such as Foursquare and Google, and selects the most probable name for each cluster. In addition, the author tries to figure out the adequate dataset size when the proposed name assign method is used. Because the proposed name assign method is not affected by the size of dataset. By using the collected data, more than 4 million geo-tagged photos of 5 cities from Flickr, the author confirmed that the proposed method can assign more proper name for the clustering results compared with a conventional tag-based name assign method, even if the size of dataset is small.

元の言語英語
ホスト出版物のタイトルIWWISS 2014 - International Workshop on Web Intelligence and Smart Sensing
出版者Association for Computing Machinery
ISBN(印刷物)9781450327473
DOI
出版物ステータス出版済み - 1 1 2014
外部発表Yes
イベント2014 International Workshop on Web Intelligence and Smart Sensing, IWWISS 2014 - Saint Etienne, フランス
継続期間: 9 1 20149 2 2014

出版物シリーズ

名前ACM International Conference Proceeding Series

会議

会議2014 International Workshop on Web Intelligence and Smart Sensing, IWWISS 2014
フランス
Saint Etienne
期間9/1/149/2/14

Fingerprint

Application programming interfaces (API)

All Science Journal Classification (ASJC) codes

  • Human-Computer Interaction
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Software

これを引用

Arakawa, Y. (2014). Discovering popular point of interests for tourism with appropriate names from social data analysis. : IWWISS 2014 - International Workshop on Web Intelligence and Smart Sensing (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/2637064.2637100

Discovering popular point of interests for tourism with appropriate names from social data analysis. / Arakawa, Yutaka.

IWWISS 2014 - International Workshop on Web Intelligence and Smart Sensing. Association for Computing Machinery, 2014. (ACM International Conference Proceeding Series).

研究成果: 著書/レポートタイプへの貢献会議での発言

Arakawa, Y 2014, Discovering popular point of interests for tourism with appropriate names from social data analysis. : IWWISS 2014 - International Workshop on Web Intelligence and Smart Sensing. ACM International Conference Proceeding Series, Association for Computing Machinery, 2014 International Workshop on Web Intelligence and Smart Sensing, IWWISS 2014, Saint Etienne, フランス, 9/1/14. https://doi.org/10.1145/2637064.2637100
Arakawa Y. Discovering popular point of interests for tourism with appropriate names from social data analysis. : IWWISS 2014 - International Workshop on Web Intelligence and Smart Sensing. Association for Computing Machinery. 2014. (ACM International Conference Proceeding Series). https://doi.org/10.1145/2637064.2637100
Arakawa, Yutaka. / Discovering popular point of interests for tourism with appropriate names from social data analysis. IWWISS 2014 - International Workshop on Web Intelligence and Smart Sensing. Association for Computing Machinery, 2014. (ACM International Conference Proceeding Series).
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