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Personalized Geolocation Image Tagging On Social Media

by Abhjit V. Mophare, Anuradha S. Lamkane
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 181 - Number 39
Year of Publication: 2019
Authors: Abhjit V. Mophare, Anuradha S. Lamkane
10.5120/ijca2019918388

Abhjit V. Mophare, Anuradha S. Lamkane . Personalized Geolocation Image Tagging On Social Media. International Journal of Computer Applications. 181, 39 ( Jan 2019), 19-23. DOI=10.5120/ijca2019918388

@article{ 10.5120/ijca2019918388,
author = { Abhjit V. Mophare, Anuradha S. Lamkane },
title = { Personalized Geolocation Image Tagging On Social Media },
journal = { International Journal of Computer Applications },
issue_date = { Jan 2019 },
volume = { 181 },
number = { 39 },
month = { Jan },
year = { 2019 },
issn = { 0975-8887 },
pages = { 19-23 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume181/number39/30322-2019918388/ },
doi = { 10.5120/ijca2019918388 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:08:36.876079+05:30
%A Abhjit V. Mophare
%A Anuradha S. Lamkane
%T Personalized Geolocation Image Tagging On Social Media
%J International Journal of Computer Applications
%@ 0975-8887
%V 181
%N 39
%P 19-23
%D 2019
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Social media has become prominent part of today’s youth life. Social media has provided a space to share thoughts, share knowledge. Even if more of social media has been discussed for its negative impact on today’s youth life, social media plays important role in organizing / gathering a community depends on relations, thoughts, education, work and religion. A photo tagging has made important role in organizing community. Tag is referred as word used by users to define or describe information in lighter way. Social tagging of personalized photo is to publically share photo o social sites. In this paper personalized tags recommendation task are focused and user-preferences, geo-location-specific tags are identified to relate community. A large number of users and geo location specific photos are used for experimental purpose. The user based tags can be used to describe community and photos can be used evaluate popularity of specific location.

References
  1. Jing Liu, Zechao Li, Jinhui Tang, Yu Jiang, “Personalized Geo-Specific Tag Recommendation for Photos on Social Websites”, IEEE TRANSACTIONS ON MULTIMEDIA, VOL. 16, NO. 3, APRIL 2014
  2. https://wearesocial.com/blog/2018/01/global-digital-report-2018
  3. https://www.statista.com/statistics/272014/global-socialnetworks-ranked-by-number-of-users/
  4. T. Mei, W. H. Hsu, and J. Luo, “Knowledge discovery from community contributed multimedia,” IEEE Multimedia, vol. 17, no. 4, pp.16–7, Oct. 2010.
  5. Y. Shen and J. Fan, “Leveraging loosely-tagged images and inter-object correlations for tag recommendation,” in Proc. ACM Multimedia, 2010.
  6. J. Tang, S. Yan, R. Hong, G.-J. Qi, and T.-S. Chua, “Inferring semanticconcepts from community-contributed images and noisy tags,” in Proc. ACM Multimedia, 2009.
  7. H. Chen, M. Chang, P. Chang, M. Tien,W. Hsu, and J.Wu, “Sheepdog: Group and tag recommendation for flikr photos by automatic searchbased learning,” in Proc. ACM Multimedia, 2008.
  8. Y. Song, L. Zhang, and C. L. Giles, “Automatic tag recommendation algorithms for social recommender systems,” ACM Trans. Web, vol. 5,no.1, 2011.
  9. A. Sun, S. S. Bhowmick, and J.-A. Chong, “Social image tag recommendation by concept matching,” in Proc. ACM Multimedia, 2011.
  10. Y. Song, L. Zhang, and C. L. Giles, “Automatic tag recommendation algorithms for social recommender systems,” ACM Trans. Web, vol. 5,no. 1, 2011.
  11. N. Garg and I. Weber. Personalized, interactive tag recommendation for ickr. In ACM Conference on Recommender Systems, 2008, pages 67{74.
  12. Sinha, R. (2005). A social analysis of tagging. Available at: http://blog.jackvinson.com/archives/2005/10/01/a_cognitive_analysis_of_tagging.html (accessed 29 Sep 2008).
  13. J. Li, X. Qian, Y. Y. Tang, L. Yang, and T. Mei, “Gps estimation for places of interest from social users’ uploaded photos,” IEEE Transactions on Multimedia, vol. 15, no. 8, pp. 2058–2071, 2013.
  14. H. Yin, C. Wang, N. Yu, and L. Zhang, “Trip mining and recommendation from geo-tagged photos,” in IEEE International Conference on Multimedia and Expo Workshops. IEEE, 2012, pp. 540–545.
  15. Xin Lu, Changhu Wang, Jiang-Ming Yang, Yanwei Pang, and Lei Zhang. Photo2Trip: Generating Travel Routes from Geo-Tagged Photos for Trip Planning. ACM Multimedia 2010
  16. An-Jung Cheng, Yan-Ying Chen, Yen-Ta Huang, Winston H. Hsu, and Hong-Yuan Mark Liao. Personalized travel recommendation by mining people attributes from community-contributed photos. ACM Multimedia 2011
  17. B. Sigurbjonsson and R. V. Zwol , “Flickr tag recommendation based on collective knowledge,” in Proc. ACM International Conference on World Wide Web, 2008, pp. 327-336.
  18. N. Garg and I. Weber, “Personalized interactive tag recommendation for Flickr,” in Proc. ACM Conference on Recommender Systems, 2008, pp. 67-74.
  19. A. Sun, S. S. Bhowmick, and J. A. Chong, “Social image tag recommendation by concept matching,” in Proc. ACM International Conference on Multimedia, 2011, pp. 1181-1184.
  20. L. Cagliero and P. D. Torino, “Personalized tag recommendation based on generalized rules,” ACM Transactions on Intelligent Systems and Technology, vol. 5, no. 1, pp. 12:1-12:22, 2013.
  21. A. Rae, B. Sigurbjrnsson, and R. V. Zwol, “Improving tag recommendation using social networks,” in Proc. Adaptivity, Personalization and Fusion of Heterogeneous Information, 2010, pp. 92-99.
  22. X. Chen and H. Shin, “Tag recommendation by machine learning with textual and social features,” Journal of Intelligent Information Systems, vol. 40, no. 2, pp. 261-282, 2013.
Index Terms

Computer Science
Information Sciences

Keywords

Geo-location preference personalized tag recommendation subspace learning tagging history user preference.

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