Exploiting Geotagged Resources to Spatial Ranking by Extending HITS Algorithm
- Authors
- Nguyen, Tuong Tri; Jung, Jason J.
- Issue Date
- Jan-2015
- Publisher
- COMSIS CONSORTIUM
- Keywords
- Spatial ranking; Geotagged resource; GeoHITS; Information ranking; Recommendation service
- Citation
- COMPUTER SCIENCE AND INFORMATION SYSTEMS, v.12, no.1, pp 185 - 201
- Pages
- 17
- Journal Title
- COMPUTER SCIENCE AND INFORMATION SYSTEMS
- Volume
- 12
- Number
- 1
- Start Page
- 185
- End Page
- 201
- URI
- https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/10060
- DOI
- 10.2298/CSIS141015091T
- ISSN
- 1820-0214
- 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.
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Collections - College of Software > School of Computer Science and Engineering > 1. Journal Articles
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