Pre-trip ratings and social networks user behaviors for recommendations in touristic web portals

Abstract

Decision-making activities in planning a city visit typically include a pre–visit hunt for information. Hence, users spend the most of the time consulting web portals in the pre–trip phase. The possibility of obtaining social media data and providing user-generated content are powerful tools for help users in the decision process. In this work, we present our framework for profiling both single users and group of users that relies on a not intrusive analysis of the users’ behaviors on social networks/media. Moreover, the analysis of the behavior of small close groups on social networks may help an automatic system in the merge of the different preferences the users may have, simulating somehow a decision process similar to a natural interaction. Such data can be used to provide POI filtering techniques on city touristic portals.