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.