完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.author | Hsu, Wan-Ting | en_US |
dc.contributor.author | Wen, Yu-Ting | en_US |
dc.contributor.author | Wei, Ling-Yin | en_US |
dc.contributor.author | Peng, Wen-Chih | en_US |
dc.date.accessioned | 2015-12-02T03:00:54Z | - |
dc.date.available | 2015-12-02T03:00:54Z | - |
dc.date.issued | 2014-01-01 | en_US |
dc.identifier.isbn | 978-1-4799-5705-7 | en_US |
dc.identifier.issn | 1551-6245 | en_US |
dc.identifier.uri | http://dx.doi.org/10.1109/MDM.2014.64 | en_US |
dc.identifier.uri | http://hdl.handle.net/11536/128535 | - |
dc.description.abstract | 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. | en_US |
dc.language.iso | en_US | en_US |
dc.subject | trajectory pattern mining | en_US |
dc.subject | travel route planning | en_US |
dc.subject | route skyline query | en_US |
dc.title | Skyline Travel Routes: Exploring Skyline for Trip Planning | en_US |
dc.type | Proceedings Paper | en_US |
dc.identifier.doi | 10.1109/MDM.2014.64 | en_US |
dc.identifier.journal | 2014 IEEE 15TH INTERNATIONAL CONFERENCE ON MOBILE DATA MANAGEMENT (IEEE MDM), VOL 2 | en_US |
dc.citation.spage | 31 | en_US |
dc.citation.epage | 36 | en_US |
dc.contributor.department | 資訊工程學系 | zh_TW |
dc.contributor.department | Department of Computer Science | en_US |
dc.identifier.wosnumber | WOS:000358408300009 | en_US |
dc.citation.woscount | 0 | en_US |
顯示於類別: | 會議論文 |