The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.
Travel route recommendation using geotagged photos
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Integrity signals
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In the citing paper
“These various studies point to the underexploited potential for social media data to inform the DMO's strategic decisions [36].”
From A Big Data Analytics Method for Tourist Behaviour Analysis (2017) · cites this paper as [36]
Citations
Cites
(2003) · Journal of Machine Learning Research · doi:10.5555/944919.944937 · Cited by 32,337
A note on two problems in connexion with graphs
Dijkstra, E. (1959) · Numerische Mathematik · doi:10.1007/bf01386390 · Cited by 24,351
Evaluating collaborative filtering recommender systems
Herlocker, J. L., Konstan, J. A., Terveen, L. G., & Riedl, J. T. (2004) · ACM Transactions on Information Systems · doi:10.1145/963770.963772 · Cited by 5,798
Photo tourism: exploring photo collections in 3D
Snavely, N., Seitz, S. M., & Szeliski, R. (2006) · ACM Transactions on Graphics · doi:10.1145/1141911.1141964 · Cited by 3,071
A guided tour to approximate string matching
Navarro, G. (2001) · ACM Computing Surveys · doi:10.1145/375360.375365 · Cited by 2,660
Modeling the World from Internet Photo Collections
Snavely, N., Seitz, S. M., & Szeliski, R. (2007) · International Journal of Computer Vision · doi:10.1007/s11263-007-0107-3 · Cited by 2,209
Stoer, J. (1999) · Springer-Lehrbuch · doi:10.1007/978-3-662-09021-3 · Cited by 2,077
Probabilistic Latent Semantic AnalysisPreprint
Hofmann, T. (2013) · arXiv (Cornell University) · doi:10.48550/arxiv.1301.6705 · Cited by 2,062
Mining interesting locations and travel sequences from GPS trajectories
Zheng, Y., Zhang, L., Xie, X., & Ma, W. (2009) · International World Wide Web Conference (WWW) · doi:10.1145/1526709.1526816 · Cited by 1,992
Using GPS to learn significant locations and predict movement across multiple users
Ashbrook, D., & Starner, T. E. (2003) · Personal and Ubiquitous Computing · doi:10.1007/s00779-003-0240-0 · Cited by 1,067
Giannotti, F., Nanni, M., Pinelli, F., & Pedreschi, D. (2007) · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · doi:10.1145/1281192.1281230 · Cited by 1,038
IM2GPS: estimating geographic information from a single image
Hays, J. H., & Efros, A. A. (2008) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2008.4587784 · Cited by 875
Crandall, D., Bäckström, L., Huttenlocher, D. P., & Kleinberg, J. M. (2009) · International World Wide Web Conference (WWW) · doi:10.1145/1526709.1526812 · Cited by 792
Bäckström, L., Sun, E., & Marlow, C. A. (2010) · International World Wide Web Conference (WWW) · doi:10.1145/1772690.1772698 · Cited by 709
Predestination: Inferring Destinations from Partial Trajectories
Krumm, J. C., & Horvitz, E. (2006) · Lecture notes in computer science · doi:10.1007/11853565_15 · Cited by 475
Generating diverse and representative image search results for landmarks
Kennedy, L. S., & Naaman, M. (2008) · International World Wide Web Conference (WWW) · doi:10.1145/1367497.1367539 · Cited by 392
Kennedy, L. S., Naaman, M., Ahern, S., Nair, R., & Rattenbury, T. (2007) · ACM International Conference on Multimedia (ACM MM) · doi:10.1145/1291233.1291384 · Cited by 387
Collaborative filtering via gaussian probabilistic latent semantic analysis
Hofmann, T. (2003) · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · doi:10.1145/860435.860483 · Cited by 373
Yang, S.-H., Long, B., Smola, A. J., Sadagopan, N., Zheng, Z., & Hongyuan Zha, B. (2011) · International World Wide Web Conference (WWW) · doi:10.1145/1963405.1963481 · Cited by 359
World explorer: visualizing aggregate data from unstructured text in geo-referenced collections
Ahern, S., Naaman, M., Nair, R., & Yang, J. (2007) · ACM/IEEE Joint Conference on Digital Libraries · doi:10.1145/1255175.1255177 · Cited by 252
Using location for personalized POI recommendations in mobile environments
Horozov, T., Narasimhan, N., & Vasudevan, V. (2006) · IEEE/IPSJ International Symposium on Applications and the Internet (SAINT) · doi:10.1109/saint.2006.55 · Cited by 216
Generating summaries and visualization for large collections of geo-referenced photographs
Jaffe, A., Naaman, M., Tassa, T., & Davis, M. (2006) · Multimedia Information Retrieval · doi:10.1145/1178677.1178692 · Cited by 212
Verbo-motor priming in the phonetic encoding of real and non-words
Whiteside, S. P., & Varley, R. A. (1999) · European Conference on Speech Communication and Technology (Eurospeech) · doi:10.21437/eurospeech.1999-479 · Cited by 203
Image sequence geolocation with human travel priors
Kalogerakis, E., Vesselova, O., Hays, J. H., Efros, A. A., & Hertzmann, A. (2009) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2009.5459259 · Cited by 144
Topic tracking model for analyzing consumer purchase behavior
Iwata, T., Watanabe, S., Yamada, T., & Ueda, N. (2009) · Cited by 128
Self-citationMining tourist information from user-supplied collections
Popescu, A., Grefenstette, G., & Moëllic, P.-A. (2009) · ACM International Conference on Information and Knowledge Management (CIKM) · doi:10.1145/1645953.1646211 · Cited by 80
Deducing trip related information from flickr
Popescu, A., & Grefenstette, G. (2009) · International World Wide Web Conference (WWW) · doi:10.1145/1526709.1526919 · Cited by 75
Cao, L., Yu, J., Luo, J., & Huang, T. S. (2009) · ACM International Conference on Multimedia (ACM MM) · doi:10.1145/1631272.1631292 · Cited by 66
Gazetiki: automatic creation of a geographical gazetteer
Popescu, A., Grefenstette, G., & Moëllic, P.-A. (2008) · ACM/IEEE Joint Conference on Digital Libraries · doi:10.1145/1378889.1378906 · Cited by 64
Constructing travel itineraries from tagged geo-temporal breadcrumbs
Choudhury, M. D., Feldman, M., Amer-Yahia, S., Golbandi, N., Lempel, R., & Yu, C. (2010) · International World Wide Web Conference (WWW) · doi:10.1145/1772690.1772815 · Cited by 56
Mining User Home Location and Gender from Flickr Tags
Popescu, A., & Grefenstette, G. (2010) · Proceedings of the International AAAI Conference on Web and Social Media · doi:10.1609/icwsm.v4i1.14046 · Cited by 54
Mining fastest path from trajectories with multiple destinations in road networks
Lu, E. H.-C., Lee, W.-C., & Tseng, V. S. M. (2010) · Knowledge and Information Systems · doi:10.1007/s10115-010-0333-9 · Cited by 23
Mining a Multilingual Geographical Gazetteer from the Web
Popescu, A., Grefenstette, G., & Bouamor, H. (2009) · IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT) · doi:10.1109/wi-iat.2009.16 · Cited by 16
Cited by
Big data in tourism research: A literature review
Li, J., Xu, L., Tang, L., Wang, S., & Li, L. (2018) · Tourism Management · doi:10.1016/j.tourman.2018.03.009 · Cited by 1,200
A Big Data Analytics Method for Tourist Behaviour Analysis
Miah, S. J., Vu, H. Q., Gammack, J., & McGrath, M. (2017) · Information & Management · doi:10.1016/j.im.2016.11.011 · Cited by 393
Palomares, J. C. G., Puebla, J. G., & García, M. D. C. M. (2015) · Applied Geography · doi:10.1016/j.apgeog.2015.08.002 · Cited by 388
Tourists' digital footprint in cities: Comparing Big Data sources
Salas-Olmedo, M. H., Moya‐Gómez, B., Palomares, J. C. G., & Puebla, J. G. (2017) · Tourism Management · doi:10.1016/j.tourman.2017.11.001 · Cited by 282
Lim, K. H., Chan, J., Leckie, C. A., & Karunasekera, S. A. (2017) · Knowledge and Information Systems · doi:10.1007/s10115-017-1056-y · Cited by 197
Metadata
- Authors
- Kurashima, T., Iwata, T., Irie, G., & Fujimura, K.
- Affiliations
- NTT (Japan) (JP)
- Corresponding author
- Kurashima, Takeshi
- Venue
- Knowledge and Information Systems
- Published
- 2012-10-23
- Volume
- 37
- Issue
- 1
- Pages
- 37-60
- ISSN
- 0219-1377 (ISSN-L)
- 0219-3116
- OpenAlex
- W2048272530
- Cited by
- 108
- References
- 33
- Citations by year
- 2026: 1 · 2025: 2 · 2024: 5 · 2023: 12 · 2022: 13 · 2021: 12 · 2020: 13 · 2019: 13 · 2018: 8 · 2017: 12 · 2016: 10 · 2015: 4 · 2014: 3
- FWCI
- 6.08
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Knowledge and Information Systems (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Information Systems › Recommender Systems and Techniques
- Social Sciences › Transportation › Human Mobility and Location-Based Analysis
- Physical Sciences › Computer Science › Information Systems › Data Management and Algorithms
- Keywords
- route recommendation, geotagged photos, location history, topic modeling, Markov model, Flickr
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.