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GoThere: travel suggestions using geotagged photos

Authors:

Ibrar HussainAuthors Info & Claims

WWW '12 Companion: Proceedings of the 21st International Conference on World Wide Web

Pages 577 - 578

https://doi.org/10.1145/2187980.2188135

Published: 16 April 2012 Publication History

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Abstract

We propose a context and preference aware travel guide that suggests significant tourist destinations to users based on their preferences and current surrounding context using contextualized user-generated contents from the social media repository, i.e., Flickr.

References

[1]

L. Kennedy, M. Naaman, S. Ahern, R. Nair, and T. Rattenbury. How flickr helps us make sense of the world: context and content in community-contributed media collections. In Proc. ACM MM'07.

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[2]

S. Kisilevich, F. Mansmann, and D. Keim. P-DBSCAN: a density based clustering algorithm for exploration and analysis of attractive areas using collections of geo-tagged photos. In Proc. COM. Geo '10. ACM Press, 2010.

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[3]

M. D. Choudhury, M. Feldman, S. Amer-Yahia, N. Golbandi, R. Lempel, and C. Yu. Constructing travel itineraries from tagged geo-temporal breadcrumbs. In Proc. WWW'10. ACM Press, 2010.

Digital Library

Google Scholar

[4]

Y. Zheng, L. Zhang, X. Xie, and W.-Y. Ma. Mining interesting locations and travel sequences from GPS trajectories. In Proc. WWW' 09. ACM Press, 2009.

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Cited By

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Salehi Solaiman Abadi AKhamforoosh KMaihami V(2025)Point-of-interest recommender model using geo-tagged photos in accordance with imperialist Fuzzy C-means clusteringPLOS ONE10.1371/journal.pone.031713120:3(e0317131)Online publication date: 7-Mar-2025
https://doi.org/10.1371/journal.pone.0317131
Muneer VBasheer K(2022)Collaborative Travel Recommender System Based on Malayalam Travel ReviewsArtificial Intelligence and Speech Technology10.1007/978-3-030-95711-7_53(651-659)Online publication date: 29-Jan-2022
https://doi.org/10.1007/978-3-030-95711-7_53
Shen JCheng ZYang MHan BLi S(2019)Style-oriented personalized landmark recommendationIEEE Transactions on Industrial Electronics10.1109/TIE.2019.2910043(1-1)Online publication date: 2019
https://doi.org/10.1109/TIE.2019.2910043
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Index Terms

GoThere: travel suggestions using geotagged photos
1. Information systems
  1. Information retrieval

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Photo sharing platforms users often annotate their trip photos with landmark names. These annotations can be aggregated in order to recommend lists of popular visitor attractions similar to those found in classical tourist guides. However, individual ...

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Information & Contributors

Information

Published In

WWW '12 Companion: Proceedings of the 21st International Conference on World Wide Web

April 2012

1250 pages

ISBN:9781450312301

DOI:10.1145/2187980

General Chairs:
Alain Mille
Université de Lyon, France
,
Fabien Gandon
INRIA, France
,
Jacques Misselis
HP, France
,
Program Chairs:
Michael Rabinovich
Case Western Reserve University, USA
,
Steffen Staab
University of Koblenz-Landau, Germany

In-Cooperation

SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 16 April 2012

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WWW 2012

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Univ. de Lyon

WWW 2012: 21st World Wide Web Conference 2012

April 16 - 20, 2012

Lyon, France

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

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Salehi Solaiman Abadi AKhamforoosh KMaihami V(2025)Point-of-interest recommender model using geo-tagged photos in accordance with imperialist Fuzzy C-means clusteringPLOS ONE10.1371/journal.pone.031713120:3(e0317131)Online publication date: 7-Mar-2025
https://doi.org/10.1371/journal.pone.0317131
Muneer VBasheer K(2022)Collaborative Travel Recommender System Based on Malayalam Travel ReviewsArtificial Intelligence and Speech Technology10.1007/978-3-030-95711-7_53(651-659)Online publication date: 29-Jan-2022
https://doi.org/10.1007/978-3-030-95711-7_53
Shen JCheng ZYang MHan BLi S(2019)Style-oriented personalized landmark recommendationIEEE Transactions on Industrial Electronics10.1109/TIE.2019.2910043(1-1)Online publication date: 2019
https://doi.org/10.1109/TIE.2019.2910043
Kumano MHashimoto KKimura M(2018)Digest Visualization of Photo Spots in Terms of Seasonal Uniquenessシーズン固有性に基づく撮影スポット群のダイジェスト可視化The Journal of the Society for Art and Science10.3756/artsci.17.817:1(8-25)Online publication date: 15-Mar-2018
https://doi.org/10.3756/artsci.17.8
Brudy FBudiman JHouben SMarquardt NMandryk RHancock MPerry MCox A(2018)Investigating the Role of an Overview Device in Multi-Device CollaborationProceedings of the 2018 CHI Conference on Human Factors in Computing Systems10.1145/3173574.3173874(1-13)Online publication date: 21-Apr-2018
https://dl.acm.org/doi/10.1145/3173574.3173874
Kumari ASingh APatil N(2017)Travel Recommendation System Using Geotagged PhotosProceedings of the 7th International Conference on Computer and Communication Technology10.1145/3154979.3154995(22-26)Online publication date: 24-Nov-2017
https://dl.acm.org/doi/10.1145/3154979.3154995
Liu SLiu KXia S(2017)Trip-CPS: Smart Trip Cyber-physical System Based on Data Fusion and Cloud Computing2017 International Conference on Computer Technology, Electronics and Communication (ICCTEC)10.1109/ICCTEC.2017.00271(1243-1247)Online publication date: Dec-2017
https://doi.org/10.1109/ICCTEC.2017.00271
Memon MLi JMemon IArain Q(2017)GEO matching regionsMultimedia Tools and Applications10.1007/s11042-016-3834-z76:14(15377-15411)Online publication date: 1-Jul-2017
https://dl.acm.org/doi/10.1007/s11042-016-3834-z
Jiang SQian XMei TFu Y(2016)Personalized Travel Sequence Recommendation on Multi-Source Big Social MediaIEEE Transactions on Big Data10.1109/TBDATA.2016.25411602:1(43-56)Online publication date: 1-Mar-2016
https://doi.org/10.1109/TBDATA.2016.2541160
Xu ZChen LChen G(2015)Topic based context-aware travel recommendation method exploiting geotagged photosNeurocomputing10.1016/j.neucom.2014.12.043155:C(99-107)Online publication date: 1-May-2015
https://dl.acm.org/doi/10.1016/j.neucom.2014.12.043
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Abstract

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Recommendations

Photo2Trip: generating travel routes from geo-tagged photos for trip planning

Antourage: mining distance-constrained trips from flickr

Mining social media to create personalized recommendations for tourist visits

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