Exploiting Geotagged Resources to Spatial Ranking by Extending HITS Algorithm
- Department of Computer Engineering, Yeungnam University
Gyeongsan, Korea 712-749 - Department of Computer Engineering, Chung-Ang University
Seoul, Korea 156-756
{tuongtringuyen, j2jung}@gmail.com
Abstract
With a large amount of geotagged resources from smart devices, it is important to provide users with intelligent location-based services. Particularly, in this work, we focus on spatial ranking service, which can retrieve a set of relevant resources with a certain tag. This paper designs ranking algorithm in order to find out a list of locations which are collected from geotagged resources on SNSs. As extending HITS algorithm [13], we propose a novel method (called GeoHITS) that can analyze an undirected 2-mode graph composed with a set of tags and a set of locations. Thereby, meaningful relationships between the locations and a set of tags are discovered by integrating several weighting schemes and HITS algorithm. To evaluate the proposed spatial ranking approach, we have shows the experimental results from the recommendation applications.
Key words
Spatial ranking, Geotagged resource, GeoHITS, Information ranking, Recommendation service
Digital Object Identifier (DOI)
https://doi.org/10.2298/CSIS141015091T
Publication information
Volume 12, Issue 1 (January 2015)
Year of Publication: 2015
ISSN: 2406-1018 (Online)
Publisher: ComSIS Consortium
Full text
Available in PDF
Portable Document Format
How to cite
Nguyen, T. T., Jung, J. J.: Exploiting Geotagged Resources to Spatial Ranking by Extending HITS Algorithm. Computer Science and Information Systems, Vol. 12, No. 1, 185–201. (2015), https://doi.org/10.2298/CSIS141015091T