TY  - JOUR
T1  - Semantic Based Geotagged Photos Similarities for Location’s Ranking Purposes
AU - A. Al-Sultany, Ghaidaa 
JO  - Journal of Engineering and Applied Sciences
VL  - 13
IS  - 18
SP  - 7716
EP  - 7720
PY  - 2018
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2018.7716.7720
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2018.7716.7720
KW  - Semantic analysis
KW  -Geotagged photos
KW  -social network data
KW  -ranking algorithm
KW  -networking media
KW  -tourist services
AB  - Nowadays, large amount of user-generated data can be obtained from social media (e.g., Instagram
and Flicker). People sharing their travel experiences with Geotagged photo through such this kind of media. In
addition, the taken photo can provide significant information such as title, location and tags from which a new
perspective to comprehend the contexts of users can be reflected. In this study, the ranking of touristic
attractions based on semantic similarity among retrieved Geotagged photos from social networking media has
been investigated. We focused on tourism service by collecting and analyzing Geotagged photo from the social
media to identify the most popular tourist places and rank them based on user location.We used HITS algorithm
that rank locations based on the relation between the locations and tags that revealedvia weighting scheme.
Thus, intelligent location-based tourist services can be provided to people.
ER  -