research-article

Travel route recommendation using geotags in photo sharing sites

Authors:

Takeshi Kurashima,

Tomoharu Iwata,

Ko FujimuraAuthors Info & Claims

CIKM '10: Proceedings of the 19th ACM international conference on Information and knowledge management

Pages 579 - 588

https://doi.org/10.1145/1871437.1871513

Published: 26 October 2010 Publication History

Abstract

The ability to create geotagged photos enables people to share their personal experiences as tourists at specific locations and times. Assuming that the collection of each photographer's geotagged photos is a sequence of visited locations, photo-sharing sites are important sources for gathering the location histories of tourists. By following their location sequences, we can find representative and diverse travel routes that link key landmarks. In this paper, we propose a travel route recommendation method that makes use of the photographers' histories as held by Flickr. Recommendations are performed by our photographer behavior model, which estimates the probability of a photographer visiting a landmark. We incorporate user preference and present location information into the probabilistic behavior model by combining topic models and Markov models. We demonstrate the effectiveness of the proposed method using a real-life dataset holding information from 71,718 photographers taken in the United States in terms of the prediction accuracy of travel behavior.

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Cited By

Roy SMajumder ASarkar J(2023)An Introduction to Various Parameters of the Point of InterestArtificial Intelligence and Data Science in Recommendation System: Current Trends, Technologies and Applications10.2174/9789815136746123010012(189-204)Online publication date: 14-Aug-2023
https://doi.org/10.2174/9789815136746123010012
Makhdomi AGillani I(2023)Towards a Greener and Fairer Transportation System: A Survey of Route Recommendation TechniquesACM Transactions on Intelligent Systems and Technology10.1145/362782515:1(1-57)Online publication date: 19-Dec-2023
https://dl.acm.org/doi/10.1145/3627825
Chen LLyu DYu SChen G(2023)Multi-Level Visual Similarity Based Personalized Tourist Attraction Recommendation Using Geo-Tagged PhotosACM Transactions on Knowledge Discovery from Data10.1145/358201517:7(1-18)Online publication date: 6-Apr-2023
https://dl.acm.org/doi/10.1145/3582015
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Index Terms

Travel route recommendation using geotags in photo sharing sites
1. Human-centered computing
2. Information systems
  1. Information systems applications

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Published In

cover image ACM Conferences

CIKM '10: Proceedings of the 19th ACM international conference on Information and knowledge management

October 2010

2036 pages

ISBN:9781450300995

DOI:10.1145/1871437

General Chair:
Jimmy Huang
York University, Canada
,
Program Chairs:
Nick Koudas
University of Toronto, Canada
,
Gareth Jones
Dublin City University, Ireland
,
Xindong Wu
University of Vermont, USA
,
Kevyn Collins-Thompson
Microsoft Research, USA
,
Aijun An
York University, Canada

Copyright © 2010 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 26 October 2010

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October 26 - 30, 2010

ON, Toronto, Canada

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Overall Acceptance Rate 1,861 of 8,427 submissions, 22%

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Cited By

Roy SMajumder ASarkar J(2023)An Introduction to Various Parameters of the Point of InterestArtificial Intelligence and Data Science in Recommendation System: Current Trends, Technologies and Applications10.2174/9789815136746123010012(189-204)Online publication date: 14-Aug-2023
https://doi.org/10.2174/9789815136746123010012
Makhdomi AGillani I(2023)Towards a Greener and Fairer Transportation System: A Survey of Route Recommendation TechniquesACM Transactions on Intelligent Systems and Technology10.1145/362782515:1(1-57)Online publication date: 19-Dec-2023
https://dl.acm.org/doi/10.1145/3627825
Chen LLyu DYu SChen G(2023)Multi-Level Visual Similarity Based Personalized Tourist Attraction Recommendation Using Geo-Tagged PhotosACM Transactions on Knowledge Discovery from Data10.1145/358201517:7(1-18)Online publication date: 6-Apr-2023
https://dl.acm.org/doi/10.1145/3582015
Chen YZhang HSun WZheng B(2023)RNTrajRec: Road Network Enhanced Trajectory Recovery with Spatial-Temporal Transformer2023 IEEE 39th International Conference on Data Engineering (ICDE)10.1109/ICDE55515.2023.00069(829-842)Online publication date: Apr-2023
https://doi.org/10.1109/ICDE55515.2023.00069
Noorian Avval AHarounabadi A(2023)A hybrid recommender system using topic modeling and prefixspan algorithm in social mediaComplex & Intelligent Systems10.1007/s40747-022-00958-59:4(4457-4482)Online publication date: 17-Jan-2023
https://doi.org/10.1007/s40747-022-00958-5
D’Angelo NAbbruzzo AFerrante MAdelfio GChiodi M(2023)GPS data on tourists: a spatial analysis on road networksAStA Advances in Statistical Analysis10.1007/s10182-023-00484-w108:3(477-499)Online publication date: 3-Nov-2023
https://doi.org/10.1007/s10182-023-00484-w
Roy SMajumder A(2023)User Interest Based POI Recommendation Considering the Impact of Weather DetailsProceedings of International Conference on Advanced Communications and Machine Intelligence10.1007/978-981-99-2768-5_17(189-199)Online publication date: 23-Jul-2023
https://doi.org/10.1007/978-981-99-2768-5_17
Kato YYamamoto K(2023)Promoting Sustainable Travel Through a Web-Based Tourism Support SystemIntelligence for Future Cities10.1007/978-3-031-31746-0_14(261-282)Online publication date: 2-Jun-2023
https://doi.org/10.1007/978-3-031-31746-0_14
Wu JSong XNiu XShi LGao LGeng LWang DZhang D(2022)IT-PMF: A Novel Community E-Commerce Recommendation Method Based on Implicit TrustMathematics10.3390/math1014240610:14(2406)Online publication date: 9-Jul-2022
https://doi.org/10.3390/math10142406
Abbas RAmran GAbdulraheem AHussain IGhoniem REwees A(2022)A Fortunate Refining Trip Recommendation ModelElectronics10.3390/electronics1115245911:15(2459)Online publication date: 7-Aug-2022
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