Istituto di Scienza e Tecnologie dell'Informazione     
Brilhante I., Macedo J. A., Nardini F. M., Perego R., Renso C. Scaling up the mining of semantically-enriched trajectories: TripBuilder at the world level. In: IIR 2015 - 6th Italian Information Retrieval Workshop (Cagliari, Italy, 25-26 May 2015). Atti, article n. 9. Paolo Boldi, Raffaele Perego, Fabrizio Sebastiani (eds.). (CEUR Workshop Proceedings, vol. 1404). CEUR-WS.org, 2015.
TripBuilder is an unsupervised system helping tourists to build their own personalized sightseeing tour [1,3,2]. Given a target touristic city, the time available for the visit, and the tourist's profile, TripBuilder provides a time-budgeted tour that maximizes tourist's interests and takes into account both the time needed to enjoy the at- tractions and to move from one Point of Interest (PoI) to the next one. The knowledge base feeding the sightseeing tour generation algorithm of TripBuilder is entirely mined from publicly available sources, namely, Wikipedia, Flickr and Google Maps. This paper introduces a scalable and robust Cloud architecture (combining both stream and batch processing) to download the data from the heterogeneous sources and build a huge TripBuilder knowledge base covering most popular cities worldwide.
URL: http://ceur-ws.org/Vol-1404/
Subject Tourist Trip Recommendation
Trajectory Mining
H.3.3 Information Search and Retrieval

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