標題: Skyline Travel Routes: Exploring Skyline for Trip Planning
作者: Hsu, Wan-Ting
Wen, Yu-Ting
Wei, Ling-Yin
Peng, Wen-Chih
資訊工程學系
Department of Computer Science
關鍵字: trajectory pattern mining;travel route planning;route skyline query
公開日期: 1-Jan-2014
摘要: In this paper, given a spatial range Q and a set of query points specified by users, the goal of this paper is to return the travel routes that fulfill two requirements: 1.) travel routes should contain all those query points specified, and 2.) travel routes should be within the spatial range Q. Furthermore, we claim that each query point may have its proper visiting time. As such, the travel routes should go through these query points at their corresponding proper visiting time. To avoid some redundant information in the travel routes, we utilize the skyline concept to retrieve travel routes with more diversity. Specifically, in our paper, we consider some factors, such as the visiting time information of POIs and the set of query points, in retrieving travel routes. These factors could be mapped into dimensional spaces. Then, each travel route is viewed as a data point in the dimensional space. Thus, skyline data points (referred to as skyline travel routes) are returned as the query result. Skyline travel routes could provide more diversity in the query result of trip route recommendations. To evaluate our proposed methods, we conducted extensive experiments on real datasets. The experimental results show that skyline travel routes indeed provide more diversity in the query result. In addition, we evaluate the efficiency of retrieving skyline travel routes.
URI: http://dx.doi.org/10.1109/MDM.2014.64
http://hdl.handle.net/11536/128535
ISBN: 978-1-4799-5705-7
ISSN: 1551-6245
DOI: 10.1109/MDM.2014.64
期刊: 2014 IEEE 15TH INTERNATIONAL CONFERENCE ON MOBILE DATA MANAGEMENT (IEEE MDM), VOL 2
起始頁: 31
結束頁: 36
Appears in Collections:Conferences Paper