Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-4, 229-233, 2014
http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-4/229/2014/
doi:10.5194/isprsarchives-XL-4-229-2014
© Author(s) 2014. This work is distributed
under the Creative Commons Attribution 3.0 License.
 
23 Apr 2014
Finding Good Areas for Renting Apartments Using Apartments Information and Users' Trajectories
R. Si1, M. Lu1, M. Arikawa1, Y. Asami1, and J. Iwasaki2 1Center for Spatial Information Science, The University of Tokyo 5-1-5, Kashiwanoha, Kashiwa City, Chiba 277-8568, Japan
2At Home Co., Ltd., Japan
Keywords: Apartment Renting, Location Based Services, Ubiquitous Mapping, Moving Trajectory, User Context Abstract. Current apartment renting web sites provide services to search apartments by attribute filters while they lack the services to help find areas that are convenient for living and meet customers’ personal preference. In many cases, people not only need attributes of the apartments meeting their requirements, but also need the attributes of the area be satisfied. We propose an IT service that can find appropriate areas for customers to rent apartments while they want to move to new places. The areas are picked according to users’ life styles mined from their former moving trajectories and to the attributes of the areas calculated from preferences of present rooms of users.
Conference paper (PDF, 1792 KB)


Citation: Si, R., Lu, M., Arikawa, M., Asami, Y., and Iwasaki, J.: Finding Good Areas for Renting Apartments Using Apartments Information and Users' Trajectories, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-4, 229-233, doi:10.5194/isprsarchives-XL-4-229-2014, 2014.

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