Exploiting geotagged resources to spatial ranking by extending HITS algorithm

Computer Science and Information Systems

Volumn 12, Issue 1, 2015, Pages 185-201

  Tri Nguyen, Tuong ^a   Jung, Jason J ^b  

^a Yeungnam University   (South Korea)

^b Chung Ang University   (South Korea)

Author keywords

GeoHITS; Geotagged resource; Information ranking; Recommendation service; Spatial ranking

Indexed keywords

EID: 84922786842     PISSN: 18200214     EISSN: None     Source Type: Journal    
DOI: 10.2298/CSIS141015091T     Document Type: Article

References (22)

1. Atzori, L., Iera, A., Morabito, G., Nitti, M.: The social internet of things (siot)– when social networks meet the internet of things: Concept, architecture and network characterization. Computer Networks 56(16), 3594–3608 (2012)
2. Bao, J., Zheng, Y., Mokbel, M.F.: Location-based and preference-aware recommendation using sparse geo-social networking data. In: Proceedings of the 20th International Conference on Advances in Geographic Information Systems. pp. 199–208. ACM (2012)
3. Begelman, G., Keller, P., Smadja, F., et al.: Automated tag clustering: Improving search and exploration in the tag space. In: CollaborativeWeb TaggingWorkshop at WWW2006, Edinburgh, Scotland. pp. 15–33. WWW2006 (2006)
4. Benzi, M., Estrada, E., Klymko, C.: Ranking hubs and authorities using matrix functions. Linear Algebra and its Applications 438(5), 2447–2474 (2013)
5. Clements, et al.: Using flickr geotags to predict user travel behaviour. In: Proceedings of the 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval. pp. 851–852. ACM (2010)
6. Ding, C., He, X., Husbands, P., Zha, H., Simon, H.D.: Pagerank, hits and a unified framework for link analysis. In: Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval. pp. 353–354. ACM (2002)
7. Pham, H.X., Jung, J.J.: Recommendation System Based on Multilingual Entity Matching on Linked Open Data. Journal of Intelligent & Fuzzy Systems 27(2), 589–599 (2014)
8. Giannakidou, E., Koutsonikola, V., Vakali, A., Kompatsiaris, I.: Co-clustering tags and social data sources. In: Proceedings of The 9th International Conference on Web-Age Information Management (WAIM’08), pp. 317–324 (2008)
9. Jung, J.J.: Exploiting semantic annotation to supporting user browsing on the web. Knowledge- Based Systems 20(4), 373 – 381 (2007)
10. Jung, J.J.: Knowledge distribution via shared context between blog-based knowledge management systems: A case study of collaborative tagging. Expert Systems with Applications. 36(7), 10627–10633 (2009)
11. Jung, J.J.: Ubiquitous conference management system for mobile recommendation services based on mobilizing social networks: A case study of u-conference. Expert Systems with . 38(10), 12786–12790 (2011).
12. Jung, J.J.: Cross-lingual query expansion in multilingual folksonomies: A case study on flickr. Knowledge-Based Systems 42, 60–67 (2013)
13. Kleinberg, J.M.: Authoritative sources in a hyperlinked environment. Journal of the ACM (JACM) 46(5), 604–632 (1999)
14. Kurashima, T., Iwata, T., Irie, G., Fujimura, K.: Travel route recommendation using geotags in photo sharing sites. In: Proceedings of the 19th ACM international conference on Information and knowledge management. pp. 579–588. ACM (2010)
15. Lee, H.C., Liu, H., Miller, R.J.: Geographically-sensitive link analysis. In: Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence. pp. 628–634. IEEE Computer Society (2007)
16. Lee, I., Cai, G., Lee, K.: Exploration of geo-tagged photos through data mining approaches. Expert Systems with Applications 41(2), 397–405 (2014)
17. Nguyen, T.T., Hwang, D., Jung, J.J.: Social tagging analytics for processing unlabeled resources: A case study on non-geotagged photos. In: Proceedings of the 8th International Symposium on Intelligent Distributed Computing (IDC 2014), Madrid, Spain, September 3-5, 2014. pp. 357–367 (2014)
18. Pham, X.H., Nguyen, T.T., Jung, J.J., Hwang, D.: Extending HITS algorithm for ranking locations by using geotagged resources. In: Proceedings of the 6th International Conference on Computational Collective Intelligence (ICCCI 2014), Seoul, Korea, September 24-26, 2014, pp. 332–341 (2014)
19. Rokach, L., Maimon, O.: Clustering methods. In: Data mining and knowledge discovery handbook, pp. 321–352. Springer (2005)
20. Sebastiani, F.: Machine learning in automated text categorization. ACM computing surveys (CSUR) 34(1), 1–47 (2002)
21. Zhang, H., Korayem, M., You, E., Crandall, D.J.: Beyond co-occurrence: discovering and visualizing tag relationships from geo-spatial and temporal similarities. In: Proceedings of the fifth ACM international conference on Web search and data mining. pp. 33–42. ACM (2012)
22. Zhang, W., Yoshida, T., Tang, X.: Tfidf, lsi and multi-word in information retrieval and text categorization. In: Systems, Man and Cybernetics, 2008. SMC 2008. IEEE International Conference on. pp. 108–113. IEEE (2008)