| Item type |
SIG Technical Reports(1) |
| 公開日 |
2021-08-26 |
| タイトル |
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|
タイトル |
Caputring spatial distribution of people interests with web quries and location data: A large scale empirical study of metropolises in Japan |
| タイトル |
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言語 |
en |
|
タイトル |
Caputring spatial distribution of people interests with web quries and location data: A large scale empirical study of metropolises in Japan |
| 言語 |
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言語 |
eng |
| キーワード |
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主題Scheme |
Other |
|
主題 |
IoTデータ |
| 資源タイプ |
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資源タイプ識別子 |
http://purl.org/coar/resource_type/c_18gh |
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資源タイプ |
technical report |
| 著者所属 |
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Department of Computer Science, School of Computing, Tokyo Institute of Technology |
| 著者所属 |
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Department of Computer Science, School of Computing, Tokyo Institute of Technology |
| 著者所属 |
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Nikken Sekkei Ltd. |
| 著者所属 |
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Nikken Sekkei Ltd. |
| 著者所属 |
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Nikken Sekkei Ltd. |
| 著者所属 |
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Yahoo Japan Corporation |
| 著者所属 |
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Department of Computer Science, School of Computing, Tokyo Institute of Technology |
| 著者所属(英) |
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en |
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Department of Computer Science, School of Computing, Tokyo Institute of Technology |
| 著者所属(英) |
|
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|
en |
|
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Department of Computer Science, School of Computing, Tokyo Institute of Technology |
| 著者所属(英) |
|
|
|
en |
|
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Nikken Sekkei Ltd. |
| 著者所属(英) |
|
|
|
en |
|
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Nikken Sekkei Ltd. |
| 著者所属(英) |
|
|
|
en |
|
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Nikken Sekkei Ltd. |
| 著者所属(英) |
|
|
|
en |
|
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Yahoo Japan Corporation |
| 著者所属(英) |
|
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|
en |
|
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Department of Computer Science, School of Computing, Tokyo Institute of Technology |
| 著者名 |
Jinyuan, Li
Soto, Anno
Takayuki, Sakamoto
Hiraki, Yasuda
Akira, Tsujimoto
Kota, Tsubouchi
Masamichi, Shimosaka
|
| 著者名(英) |
Jinyuan, Li
Soto, Anno
Takayuki, Sakamoto
Hiraki, Yasuda
Akira, Tsujimoto
Kota, Tsubouchi
Masamichi, Shimosaka
|
| 論文抄録 |
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内容記述タイプ |
Other |
|
内容記述 |
Capturing visitor interests in certain urban areas provides a good approach to mine interests spatial distribution that is essential for more intelligent urban designing and city planning. To learn better about a city, currently it takes urban researchers much cost on field investigation such as gathering pictures or crowd-sourcing. Meanwhile, evaluation obtained from visitors is often biased and fail to fulfill our purpose to characterize interests distribution objectively. Under the help of massive query and location data gathered from users, we conduct several empirical studies on geographic map segments. In our work, spatial interests distribution can be captured by calculating statistical features across the regions. We apply the aggregation and analysis procedure on real world dataset collected by Yahoo corporation in several cities in Japan. Our analysis results can provide a new perspective on how to characterize a city without extensive field studies. |
| 論文抄録(英) |
|
|
内容記述タイプ |
Other |
|
内容記述 |
Capturing visitor interests in certain urban areas provides a good approach to mine interests spatial distribution that is essential for more intelligent urban designing and city planning. To learn better about a city, currently it takes urban researchers much cost on field investigation such as gathering pictures or crowd-sourcing. Meanwhile, evaluation obtained from visitors is often biased and fail to fulfill our purpose to characterize interests distribution objectively. Under the help of massive query and location data gathered from users, we conduct several empirical studies on geographic map segments. In our work, spatial interests distribution can be captured by calculating statistical features across the regions. We apply the aggregation and analysis procedure on real world dataset collected by Yahoo corporation in several cities in Japan. Our analysis results can provide a new perspective on how to characterize a city without extensive field studies. |
| 書誌レコードID |
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収録物識別子タイプ |
NCID |
|
収録物識別子 |
AA1271737X |
| 書誌情報 |
研究報告高齢社会デザイン（ASD）
巻 2021-ASD-21,
号 18,
p. 1-8,
発行日 2021-08-26
|
| ISSN |
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収録物識別子タイプ |
ISSN |
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収録物識別子 |
2189-4450 |
| Notice |
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SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc. |
| 出版者 |
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言語 |
ja |
|
出版者 |
情報処理学会 |
IPSJ-ASD21021018.pdf (11.5 MB)
