%0 Conference Paper %1 citeulike:13566947 %A Yahi, Alexandre %A Chassang, Antoine %A Raynaud, Louis %A Duthil, Hugo %A Chau, Duen Horng Polo %B Proceedings of the 20th International Conference on Intelligent User Interfaces %C New York, NY, USA %D 2015 %I ACM %K guided-tour mobile-guide personalization %P 275--285 %R 10.1145/2678025.2701366 %T Aurigo: An Interactive Tour Planner for Personalized Itineraries %U http://dx.doi.org/10.1145/2678025.2701366 %X Planning personalized tour itineraries is a complex and challenging task for both humans and computers. Doing it manually is time-consuming; approaching it as an optimization problem is computationally NP hard. We present Aurigo, a tour planning system combining a recommendation algorithm with interactive visualization to create personalized itineraries. This hybrid approach enables Aurigo to take into account both quantitative and qualitative preferences of the user. We conducted a within-subject study with 10 participants, which demonstrated that Aurigo helped them find points of interest quickly. Most participants chose Aurigo over Google Maps as their preferred tools to create personalized itineraries. Aurigo may be integrated into review websites or social networks, to leverage their databases of reviews and ratings and provide better itinerary recommendations. %@ 978-1-4503-3306-1

@inproceedings{citeulike:13566947, abstract = {{Planning personalized tour itineraries is a complex and challenging task for both humans and computers. Doing it manually is time-consuming; approaching it as an optimization problem is computationally NP hard. We present Aurigo, a tour planning system combining a recommendation algorithm with interactive visualization to create personalized itineraries. This hybrid approach enables Aurigo to take into account both quantitative and qualitative preferences of the user. We conducted a within-subject study with 10 participants, which demonstrated that Aurigo helped them find points of interest quickly. Most participants chose Aurigo over Google Maps as their preferred tools to create personalized itineraries. Aurigo may be integrated into review websites or social networks, to leverage their databases of reviews and ratings and provide better itinerary recommendations.}}, added-at = {2018-03-19T12:24:51.000+0100}, address = {New York, NY, USA}, author = {Yahi, Alexandre and Chassang, Antoine and Raynaud, Louis and Duthil, Hugo and Chau, Duen Horng Polo}, biburl = {https://www.bibsonomy.org/bibtex/2d8e71935bcebb72eb206ce9329d6e5b7/aho}, booktitle = {Proceedings of the 20th International Conference on Intelligent User Interfaces}, citeulike-article-id = {13566947}, citeulike-linkout-0 = {http://portal.acm.org/citation.cfm?id=2701366}, citeulike-linkout-1 = {http://dx.doi.org/10.1145/2678025.2701366}, doi = {10.1145/2678025.2701366}, interhash = {e77d3f34347c38ed53510d2614cf6fbf}, intrahash = {d8e71935bcebb72eb206ce9329d6e5b7}, isbn = {978-1-4503-3306-1}, keywords = {guided-tour mobile-guide personalization}, location = {Atlanta, Georgia, USA}, pages = {275--285}, posted-at = {2015-03-31 19:06:41}, priority = {2}, publisher = {ACM}, series = {IUI '15}, timestamp = {2018-03-19T12:24:51.000+0100}, title = {{Aurigo: An Interactive Tour Planner for Personalized Itineraries}}, url = {http://dx.doi.org/10.1145/2678025.2701366}, year = 2015 }