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Antourage: mining distance-constrained trips from flickr

Authors:

Saral Jain,

Stephan Seufert,

Srikanta BedathurAuthors Info & Claims

WWW '10: Proceedings of the 19th international conference on World wide web

Pages 1121 - 1122

https://doi.org/10.1145/1772690.1772834

Published: 26 April 2010 Publication History

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Abstract

We study how to automatically extract tourist trips from large volumes of geo-tagged photographs. Working with more than 8 million of these photographs that are publicly available via photo- sharing communities such as Flickr and Panoramio, our goal is to satisfy the needs of a tourist who specifies a starting location (typically a hotel) together with a bounded travel distance and demands a tour that visits the popular sites along the way. Our system, named ANTOURAGE, solves this intractable problem using a novel adaptation of the max-min ant system (MMAS) meta-heuristic. Experiments using GPS metadata crawled from Flickr show that ANTOURAGE can generate high-quality tours.

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Cited By

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Bui T(2021)Discovering shopping visitors’ behavior and preferences using geo-tagged social photos: a case study of Los Angeles CityJournal of Marketing Analytics10.1057/s41270-021-00107-wOnline publication date: 23-Feb-2021
https://doi.org/10.1057/s41270-021-00107-w
Korakakis MSpyrou EMylonas PPerantonis S(2017)Exploiting social media information toward a context-aware recommendation systemSocial Network Analysis and Mining10.1007/s13278-017-0459-97:1Online publication date: 31-Aug-2017
https://doi.org/10.1007/s13278-017-0459-9
Korakakis MMylonas PSpyrou E(2016)Xenia: A context aware tour recommendation system based on social network metadata information2016 11th International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP)10.1109/SMAP.2016.7753385(59-64)Online publication date: Oct-2016
https://doi.org/10.1109/SMAP.2016.7753385
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Index Terms

Antourage: mining distance-constrained trips from flickr
1. Human-centered computing
  1. Visualization
    1. Visualization application domains
      1. Geographic visualization
2. Information systems
  1. Information systems applications
    1. Data mining
    2. Spatial-temporal systems

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Information

Published In

WWW '10: Proceedings of the 19th international conference on World wide web

April 2010

1407 pages

ISBN:9781605587998

DOI:10.1145/1772690

General Chairs:
Michael Rappa
North Carolina State University, USA
,
Paul Jones
University of North Carolina at Chapel Hill, USA
,
Program Chairs:
Juliana Freire
University of Utah, USA
,
Soumen Chakrabarti
Indian Institute of Technology, India

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Association for Computing Machinery

New York, NY, United States

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Published: 26 April 2010

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WWW '10

WWW '10: The 19th International World Wide Web Conference

April 26 - 30, 2010

North Carolina, Raleigh, USA

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Overall Acceptance Rate 1,899 of 8,196 submissions, 23%

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Bui T(2021)Discovering shopping visitors’ behavior and preferences using geo-tagged social photos: a case study of Los Angeles CityJournal of Marketing Analytics10.1057/s41270-021-00107-wOnline publication date: 23-Feb-2021
https://doi.org/10.1057/s41270-021-00107-w
Korakakis MSpyrou EMylonas PPerantonis S(2017)Exploiting social media information toward a context-aware recommendation systemSocial Network Analysis and Mining10.1007/s13278-017-0459-97:1Online publication date: 31-Aug-2017
https://doi.org/10.1007/s13278-017-0459-9
Korakakis MMylonas PSpyrou E(2016)Xenia: A context aware tour recommendation system based on social network metadata information2016 11th International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP)10.1109/SMAP.2016.7753385(59-64)Online publication date: Oct-2016
https://doi.org/10.1109/SMAP.2016.7753385
Spyrou EMylonas P(2016)A survey on Flickr multimedia research challengesEngineering Applications of Artificial Intelligence10.1016/j.engappai.2016.01.00651:C(71-91)Online publication date: 1-May-2016
https://dl.acm.org/doi/10.1016/j.engappai.2016.01.006
Van Canneyt SSchockaert SDhoedt B(2015)Discovering and Characterizing Places of Interest Using Flickr and TwitterHospitality, Travel, and Tourism10.4018/978-1-4666-6543-9.ch024(393-420)Online publication date: 2015
https://doi.org/10.4018/978-1-4666-6543-9.ch024
Yahi AChassang ARaynaud LDuthil HChau DBrdiczka OChau PCarenini GPan SKristensson P(2015)AurigoProceedings of the 20th International Conference on Intelligent User Interfaces10.1145/2678025.2701366(275-285)Online publication date: 18-Mar-2015
https://dl.acm.org/doi/10.1145/2678025.2701366
Spyrou ESofianos IMylonas P(2015)Mining tourist routes from Flickr photosProceedings of the 2015 10th International Workshop on Semantic and Social Media Adaptation and Personalization (SMAP)10.1109/SMAP.2015.7370093(1-5)Online publication date: 5-Nov-2015
https://dl.acm.org/doi/10.1109/SMAP.2015.7370093
Yang YGong ZU L(2014)Identifying Points of Interest Using Heterogeneous FeaturesACM Transactions on Intelligent Systems and Technology10.1145/26681115:4(1-27)Online publication date: 15-Dec-2014
https://dl.acm.org/doi/10.1145/2668111
Venkateswaran RWeibel RPurves R(2014)Exploring and Visualizing Differences in Geographic and Linguistic Web CoverageTransactions in GIS10.1111/tgis.1207118:6(852-876)Online publication date: 27-Jan-2014
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Płuciennik TPłuciennik E(2014)Path Features in Spatial Data GenerationBeyond Databases, Architectures, and Structures10.1007/978-3-319-06932-6_45(465-471)Online publication date: 2014
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Mapping the world's photos

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