Ghaidaa  A. Al-Sultany, 
    Semantic Based Geotagged Photos Similarities for Location’s Ranking Purposes,
    Journal of Engineering and Applied Sciences,
    Volume 13,Issue 18,
    2018,
    Pages 7716-7720,
    ISSN 1816-949x,
    jeasci.2018.7716.7720,
    (https://makhillpublications.co/view-article.php?doi=jeasci.2018.7716.7720)
    Abstract: 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.
    Keywords: Semantic analysis;Geotagged photos;social network data;ranking algorithm;networking media;tourist services