Title :
Personalized travel suggestions for tourism websites
Author :
Coelho, António ; Rodrigues, André
Author_Institution :
Dept. de Eng. Inf., Univ. do Porto, Porto, Portugal
Abstract :
The evolution of tourism websites is converging to a set of features and best practices that are becoming standard, in such a way that developing a template and later customizing it to a given tourist region is becoming feasible. A very important feature in this kind of site is showing the touristic suggestions of what the tourist can find in the destination, optimally personalized for him/her. One problem in deploying such functionality however is the lack of user experience data suited to perform data mining when a new site is launched. This paper proposes a solution, customizable to any touristic region, that harnesses the information available in Flickr, crossing it with a Point of Interest (POI) database and using Google Prediction API (Application Programming Interface) to generate personalized travel suggestions, based on the geographical itinerary the user defined with a trip planner tool.
Keywords :
Web sites; application program interfaces; data mining; geographic information systems; recommender systems; travel industry; Flickr; Google prediction API; application programming interface; data mining; geographical itinerary; personalized travel suggestion; point of interest database; tourism Web site; tourist region; touristic suggestion; trip planner tool; user experience data; Accuracy; Cities and towns; Databases; Engines; Google; Intelligent systems; Training; Data mining; Geographical Information Systems (GIS); cloud computing; machine learning; recommendation systems;
Conference_Titel :
Intelligent Systems Design and Applications (ISDA), 2011 11th International Conference on
Conference_Location :
Cordoba
Print_ISBN :
978-1-4577-1676-8
DOI :
10.1109/ISDA.2011.6121641
