Advanced SearchSearch Tips
Personalized Itinerary Recommendation System based on Stay Time
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
 Title & Authors
Personalized Itinerary Recommendation System based on Stay Time
Park, Sehwa; Park, Seog;
Recent developments regarding transportation technology have positioned travel as a major leisure activity; however, trip-itinerary planning remains a challenging task for tourists due to the need to select Points of Interest (POI) for visits to unfamiliar cities. Meanwhile, due to the GPS functions on mobile devices such as smartphones and tablet PCs, it is now possible to collect a user's position in real time. Based on these circumstances, our research on an automatic itinerary-planning system to simplify the trip-planning process was conducted briskly. The existing studies that include research on itinerary schedules focus on an identification of the shortest path in consideration of cost and time constraints, or a recommendation of the most-popular travel route in the destination area; therefore, we propose a personalized itinerary-recommendation system for which the stay-time preference of the individual user is considered as part of the personalized service.
location based service;itinerary recommendation system;top-k query processing;threshold algorithm;
 Cited by
S. Kim, B. Park, and J. Jung, "User Route analysis of using GPS on a Mobile Device and Moving Route Recommendation System," Journal of the Korea Contents Association, Vol. 11, No. 2, pp. 135-141, Feb. 2011. (in Korean)

H. Lee, J. Choi, and Y. Park, "Semantic Point of Interest Detection from Large-scale GPS Data of Mobile Users," Journal of KISS : Software and Applications, Vol. 39, No. 3, pp. 175-184, Mar. 2012. (in Korean)

H. Yoon, Y. Zheng, X. Xie, and W. Woo, "Smart itinerary recommendation based on user-generated GPS trajectories." Ubiquitous Intelligence and Computing, Springer Berlin Heidelberg, Vol. 6406, pp. 19-34, Jan. 2010. crossref(new window)

H.-P. Hsieh, C.-T. Li, and S.-D. Lin, "Exploiting large-scale check-in data to recommend timesensitive routes," Proc. of the ACM SIGKDD International Workshop on Urban Computing, pp. 55-62, 2012.

G. Chen, S. Wu, J. Zhou, and A.K.H. Tung, "Automatic itinerary planning for traveling services," Knowledge and Data Engineering, IEEE Transactions on, Vol. 26, No. 3, pp. 514-527, Mar. 2014. crossref(new window)

E. Lu, C.-Y. Chen, and V.S. Tseng, "Personalized trip recommendation with multiple constraints by mining user check-in behaviors," Proc. of the 20th International Conference on Advances in Geographic Information Systems, pp. 209-218, 2012.

I. Brilhante, J.A. Macedo, F.M. Nardi, R. Pergo, and C. Renso, "Where shall we go today?: planning touristic tours with tripbuilder," Proc. of the 22nd ACM international conference on Conference on information & knowledge management, pp. 757-762, 2013.

C. Chen, D. Zhang, B. Guo, X. Ma, G. Pan, and Z. Wu, "TripPlanner: Personalized Trip Planning Leveraging Heterogeneous Crowdsourced Digital Footprints," Intelligent Transportation System, IEEE Transaction on, Vol. 16, No. 3, pp. 1259-1273, Jun. 2015. crossref(new window)

E. Keogh, C.A. Ratanamahatana, "Exact indexing of dynamic time warping," Knowledge and Information Systems, Vol. 7, No. 3, pp. 358-386, Mar. 2005. crossref(new window)

W.H.E. Day, H. Edelsbrunner, "Efficient algorithms for agglomerative hierarchical clustering methods," Journal of Classification, Vol. 1, No. 1, pp. 7-24, Dec. 1984. crossref(new window)