Locations Ranking using Page Rank Algorithm

  • Authors

    • Ghaidaa A. Al-Sultany
    • Asraa A. Abd Al-Ameer
    2018-11-27
    https://doi.org/10.14419/ijet.v7i4.19.28070
  • Geo-tags resources, Social media data, Information ranking, Tourist attraction, Smart cultural tourism

  • Abstract

    Nowadays, large amount of user-generated data can obtained from social media (e.g., Instagram and Flicker) .People sharing their travel experiences with geo-tagged photo through these media, and the photo itself has important information like title, tags and location.Thesetypes of data provide a new perspective for us to understand the contexts of users. In this paper we focused on tourism service by collecting and analyzing geo-tagged photo from the social media to identify the most popular tourist places and rank them based on user location. We used PageRank algorithm that rank locations based on the relation between the locations and a set of tags that discovered by weighting scheme. Thus, an intelligent location-based tourist services can be provide to people. The work experiments have shown encouraging results in terms of ranking the given locations.

     

     

  • References

    1. [1] T. T. Nguyen, D. Camacho, and J. E. Jung, “Identifying and ranking cultural heritage resources on geotagged social media for smart cultural tourism services,†Pers. Ubiquitous Comput., vol. 21, no. 2, pp. 267–279, 2017.

      [2] I. Memon, L. Chen, A. Majid, M. Lv, I. Hussain, and G. Chen, “Travel Recommendation Using Geo-tagged Photos in Social Media for Tourist,†Wirel. Pers. Commun., vol. 80, no. 4, pp. 1347–1362, 2015.

      [3] L. Townsend and C. Wallace, “Social Media Research: A Guide to Ethics,†Univ. Aberdeen, pp. 1–16, 2016.

      [4] A. Sadilek, H. Kautz, and V. Silenzio, “Modeling Spread of Disease from Social Interactions,†Proc. Sixth Int. AAAI Conf. Weblogs Soc. Media, pp. 322–329, 2012.

      [5] C. Tech, A. Krebs, C. Tech, R. Schwartz, A. Langdon, and C. Tech, “CityBeat : Real-time Social Media Visualization of Hyper-local City Data,†pp. 167–170, 2014.

      [6] D. Flatow, M. Naaman, K. E. Xie, Y. Volkovich, and Y. Kanza, “On the Accuracy of Hyper-local Geotagging of Social Media Content,†Proc. Eighth ACM Int. Conf. Web Search Data Min. - WSDM ’15, pp. 127–136, 2015.

      [7] J. J. Nguyen TT, Hwang D, Intelligent Distributed Computing III, vol. 237. Madrid, Spain, 2009.

      [8] X. Peng and Z. Huang, “A Novel Popular Tourist Attraction Discovering Approach Based on Geo-Tagged Social Media Big Data,†ISPRS Int. J. Geo-Information, vol. 6, no. 7, p. 216, 2017.

      [9] T. Tri Nguyen and J. J. Jung, “Exploiting geotagged resources to spatial ranking by extending HITS algorithm,†Comput. Sci. Inf. Syst., vol. 12, no. 1, pp. 185–201, 2015.

      [10] I. Lee, G. Cai, and K. Lee, “Exploration of geo-tagged photos through data mining approaches,†Expert Syst. Appl., vol. 41, no. 2, pp. 397–405, 2014.

      [11] Y. Gao, J. Tang, R. Hong, Q. Dai, T.-S. Chua, and R. Jain, “W2Go,†Proc. Int. Conf. Multimed. - MM ’10, p. 123, 2010.

      [12] H. Mousselly-Sergieh, D. Watzinger, B. Huber, M. Döller, E. Egyed-Zsigmond, and H. Kosch, “World-wide scale geotagged image dataset for automatic image annotation and reverse geotagging,†Proc. 5th ACM Multimed. Syst. Conf. - MMSys ’14, pp. 47–52, 2014.

      [13] N. Pradhan, M. Gyanchandani, and R. Wadhvani, “A Review on Text Similarity Technique used in IR and its Application,†Int. J. Comput. Appl., vol. 120, no. 9, pp. 29–34, 2015.

      [14] N. V Pardakhe and R. R. Keole, “Analysis of Various Web Page Ranking Algorithms in Web Structure Mining,†Int. J. Adv. Res. Comput. Commun. Eng., vol. 2, no. 12, pp. 4798–4803, 2013.

      [15] M. Batra, S. Sharma, A. Prof, D. Of, C. Applications, and M. Rachna, “Comparative Study of Page Rank Algorithm With Different Ranking Algorithms Adopted By Search Engine For Website Ranking,†Int. J. Comput. Technol. Appl., vol. 4, no. 1, pp. 8–18, 2013.

      [16] C. C. Aggarwal, Recommender Systems. 2016.

  • Downloads

  • How to Cite

    A. Al-Sultany, G., & A. Abd Al-Ameer, A. (2018). Locations Ranking using Page Rank Algorithm. International Journal of Engineering & Technology, 7(4.19), 914-918. https://doi.org/10.14419/ijet.v7i4.19.28070

    Received date: 2019-03-01

    Accepted date: 2019-03-01

    Published date: 2018-11-27