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TravelScope: standing on the shoulders of dedicated travelers

Authors:

Rui Cai,

Lei ZhangAuthors Info & Claims

MM '09: Proceedings of the 17th ACM international conference on Multimedia

Pages 1021 - 1022

https://doi.org/10.1145/1631272.1631499

Published: 19 October 2009 Publication History

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Abstract

In this paper, we propose a system called TravelScope that helps users experience virtual tours by presenting information mined from user-generated travelogues and photos. The system can (1) recommend popular places for a given region; (2) characterize comprehensive aspects (e.g., landmarks, styles, activities) for a location; and (3) show representative images for a landmark. A novel user interface is designed to provide a better user experience, by organizing both the textual and visual information generated by dedicated travelers in an attractive way.

References

[1]

Flickr. http://www.flickr.com/

Google Scholar

[2]

F. Jing, L. Zhang, and W.-Y. Ma. VirtualTour: an online travel assistant based on high quality images. MM, 2006.

Digital Library

Google Scholar

[3]

Virtual Earth Silverlight Control. https://connect.microsoft.com/silverlightmapcontrolctp

Google Scholar

[4]

Y. Cao, J. Xu, T.-Y. Liu, H. Li, Y. Huang, and H.-W. Hon. Adapting ranking SVM to document retrieval. SIGIR, 2006.

Digital Library

Google Scholar

[5]

Q. Hao, R. Cai, X.-J. Wang, J.-M. Yang, Y. Pang, and L. Zhang. Generating location overviews with images and tags by mining user-generated travelogues. MM, 2009.

Digital Library

Google Scholar

[6]

B. Wang, Z. Li, M. Li, W.-Y. Ma. Large-scale duplicate detection for web image search. ICME, 2006.

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Cited By

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Haris EGan K(2017)Mining graphs from travel blogs: a review in the context of tour planningInformation Technology & Tourism10.1007/s40558-017-0095-217:4(429-453)Online publication date: 5-Dec-2017
https://doi.org/10.1007/s40558-017-0095-2
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
Shen JShen JMei TGao X(2016)Landmark Reranking for Smart Travel Guide Systems by Combining and Analyzing Diverse MediaIEEE Transactions on Systems, Man, and Cybernetics: Systems10.1109/TSMC.2016.252394846:11(1492-1504)Online publication date: Nov-2016
https://doi.org/10.1109/TSMC.2016.2523948
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TravelScope: standing on the shoulders of dedicated travelers

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Information & Contributors

Information

Published In

MM '09: Proceedings of the 17th ACM international conference on Multimedia

October 2009

1202 pages

ISBN:9781605586083

DOI:10.1145/1631272

General Chairs:
Wen Gao
Peking University, China
,
Yong Rui
Microsoft, China
,
Alan Hanjalic
Delft University of Technology, The Netherlands
,
Program Chairs:
Changsheng Xu
Institute of Automation, Chinese Academy of Sciences, China
,
Eckehard Steinbach
Technical University of Munich, Germany
,
Abdulmotaleb El Saddik
University of Ottawa, Canada
,
Michelle Zhou
IBM T. J. Watson Research Center, USA

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 19 October 2009

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Demonstration

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MM09

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SIGMM

MM09: ACM Multimedia Conference

October 19 - 24, 2009

Beijing, China

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Overall Acceptance Rate 2,145 of 8,556 submissions, 25%

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Cited By

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Haris EGan K(2017)Mining graphs from travel blogs: a review in the context of tour planningInformation Technology & Tourism10.1007/s40558-017-0095-217:4(429-453)Online publication date: 5-Dec-2017
https://doi.org/10.1007/s40558-017-0095-2
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
Shen JShen JMei TGao X(2016)Landmark Reranking for Smart Travel Guide Systems by Combining and Analyzing Diverse MediaIEEE Transactions on Systems, Man, and Cybernetics: Systems10.1109/TSMC.2016.252394846:11(1492-1504)Online publication date: Nov-2016
https://doi.org/10.1109/TSMC.2016.2523948
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
Li XLarson MHanjalic A(2015)Global-Scale Location Prediction for Social Images Using Geo-Visual RankingIEEE Transactions on Multimedia10.1109/TMM.2015.241335117:5(674-686)Online publication date: May-2015
https://doi.org/10.1109/TMM.2015.2413351
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
Han JLee H(2015)Adaptive landmark recommendations for travel planningPervasive and Mobile Computing10.1016/j.pmcj.2014.08.00218:C(4-17)Online publication date: 1-Apr-2015
https://dl.acm.org/doi/10.1016/j.pmcj.2014.08.002
Spyrou EMylonas P(2014)An Overview of Flickr Challenges and Research OpportunitiesProceedings of the 2014 9th International Workshop on Semantic and Social Media Adaptation and Personalization10.1109/SMAP.2014.19(88-93)Online publication date: 6-Nov-2014
https://dl.acm.org/doi/10.1109/SMAP.2014.19
Li XLarson MHanjalic AJain RPrabhakaran BWorring MSmith JChua T(2013)Geo-visual ranking for location prediction of social imagesProceedings of the 3rd ACM conference on International conference on multimedia retrieval10.1145/2461466.2461481(81-88)Online publication date: 16-Apr-2013
https://dl.acm.org/doi/10.1145/2461466.2461481
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