Paper Info
Title
Discovering Obscure Sightseeing Spots by Analysis of Geo-tagged Social Images.
Abstract
In contrast to conventional studies of discovering hot spots, by analyzing geo-tagged images on Flickr, we introduce novel methods to discover obscure sightseeing spots that are less well-known while still worth visiting. To this end, we face two new challenges that the classical authority analysis based methods do not encounter: how to discover and rank spots on the basis of 1) popularity (obscurity level) and 2) scenery quality. For the first challenge, we estimate the obscurity level of a spot in accordance with the visiting asymmetry between photographers who are familiar with a target city and those who are not. For the second challenge, the behavior of both viewers who browsed the images and photographers are analyzed per each spot. We also develop an application system to help users to explore sightseeing spots with different geographical granularities. Experimental evaluations and analysis on a real dataset well demonstrate the effectiveness of the proposed methods.
Year
DOI
Venue
2015
10.1145/2808797.2809386
ASONAM
Keywords
Field
DocType
obscure sightseeing spot discovery,geo-tagged social image analysis,Flickr,authority analysis based methods,obscurity level estimation,geographical granularities
Data mining,Spots,World Wide Web,Computer science,Social network analysis,Popularity,Tourism,The Internet
Conference
Citations 
PageRank 
References 
6
0.48
13
Authors
4
Name
Order
Citations
PageRank
Chenyi Zhuang1455.45
Qiang Ma2419.09
Xuefeng Liang3101.25
Masatoshi Yoshikawa41655282.19