MOIR/uots: Trip recommendation with user oriented trajectory search

Kuien Liu; Bin Yang; Shuo Shang; Yaguang Li; Zhiming Ding

doi:10.1109/MDM.2013.49

MOIR/uots: Trip recommendation with user oriented trajectory search

Kuien Liu, Bin Yang, Shuo Shang, Yaguang Li, Zhiming Ding

Department of Computer Science

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

12 Citations (Scopus)

Abstract

Trajectory search plays an important role in various applications such as trip planning and recommendation. However, most existing studies only focus on spatial proximity but ignore individual users' preferences. For example, it is inappropriate to recommend a route containing gravel roads to travelers without off-road vehicles. To accommodate various user preferences, we develop MOIR/UOTS, a trip recommendation system that supports User Oriented Trajectory Search (UOTS) based on our previous MOIR platform. Meanwhile, MOIR/UOTS also functions as a test-bed system for exploring and evaluating novel trajectory searching algorithms. In particular, we demonstrate how ordinary users can interact with MOIR/UOTS to search for trajectories with their preferences, and how MOIR/UOTS helps researchers to evaluate the performance of various algorithms.

Original language	English
Title of host publication	Mobile Data Management (MDM), 2013 IEEE 14th International Conference on
Number of pages	3
Publisher	IEEE Press
Publication date	11 Sept 2013
Pages	335-337
Article number	6569156
ISBN (Print)	978-1-4673-6068-5
DOIs	https://doi.org/10.1109/MDM.2013.49
Publication status	Published - 11 Sept 2013
Event	the 14th IEEE International Conference on Mobile Data Management - Milan, Italy Duration: 3 Jun 2013 → 6 Jun 2013 Conference number: 14

Conference

Conference	the 14th IEEE International Conference on Mobile Data Management
Number	14
Country/Territory	Italy
City	Milan
Period	03/06/2013 → 06/06/2013

Series	I E E E International Conference on Mobile Data Management. Proceedings
Volume	1
ISSN	1551-6245

Keywords

Efficiency
Spatiotemporal Databases
Trajectories
User Oriented Trajectory Search

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@inproceedings{c191c47e5bde4e02a0356ae3853c8a8a,

title = "MOIR/uots: Trip recommendation with user oriented trajectory search",

abstract = "Trajectory search plays an important role in various applications such as trip planning and recommendation. However, most existing studies only focus on spatial proximity but ignore individual users' preferences. For example, it is inappropriate to recommend a route containing gravel roads to travelers without off-road vehicles. To accommodate various user preferences, we develop MOIR/UOTS, a trip recommendation system that supports User Oriented Trajectory Search (UOTS) based on our previous MOIR platform. Meanwhile, MOIR/UOTS also functions as a test-bed system for exploring and evaluating novel trajectory searching algorithms. In particular, we demonstrate how ordinary users can interact with MOIR/UOTS to search for trajectories with their preferences, and how MOIR/UOTS helps researchers to evaluate the performance of various algorithms.",

keywords = "Efficiency, Spatiotemporal Databases, Trajectories, User Oriented Trajectory Search",

author = "Kuien Liu and Bin Yang and Shuo Shang and Yaguang Li and Zhiming Ding",

year = "2013",

month = sep,

day = "11",

doi = "10.1109/MDM.2013.49",

language = "English",

isbn = "978-1-4673-6068-5",

series = "I E E E International Conference on Mobile Data Management. Proceedings",

publisher = "IEEE Press",

pages = "335--337",

booktitle = "Mobile Data Management (MDM), 2013 IEEE 14th International Conference on",

note = "the 14th IEEE International Conference on Mobile Data Management, MDM ; Conference date: 03-06-2013 Through 06-06-2013",

}

Liu, K, Yang, B, Shang, S, Li, Y & Ding, Z 2013, MOIR/uots: Trip recommendation with user oriented trajectory search. in Mobile Data Management (MDM), 2013 IEEE 14th International Conference on., 6569156, IEEE Press, I E E E International Conference on Mobile Data Management. Proceedings, vol. 1, pp. 335-337, the 14th IEEE International Conference on Mobile Data Management, Milan, Italy, 03/06/2013. https://doi.org/10.1109/MDM.2013.49

MOIR/uots: Trip recommendation with user oriented trajectory search. / Liu, Kuien; Yang, Bin; Shang, Shuo et al.
Mobile Data Management (MDM), 2013 IEEE 14th International Conference on. IEEE Press, 2013. p. 335-337 6569156 (I E E E International Conference on Mobile Data Management. Proceedings, Vol. 1).

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

TY - GEN

T1 - MOIR/uots

T2 - the 14th IEEE International Conference on Mobile Data Management

AU - Liu, Kuien

AU - Yang, Bin

AU - Shang, Shuo

AU - Li, Yaguang

AU - Ding, Zhiming

N1 - Conference code: 14

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N2 - Trajectory search plays an important role in various applications such as trip planning and recommendation. However, most existing studies only focus on spatial proximity but ignore individual users' preferences. For example, it is inappropriate to recommend a route containing gravel roads to travelers without off-road vehicles. To accommodate various user preferences, we develop MOIR/UOTS, a trip recommendation system that supports User Oriented Trajectory Search (UOTS) based on our previous MOIR platform. Meanwhile, MOIR/UOTS also functions as a test-bed system for exploring and evaluating novel trajectory searching algorithms. In particular, we demonstrate how ordinary users can interact with MOIR/UOTS to search for trajectories with their preferences, and how MOIR/UOTS helps researchers to evaluate the performance of various algorithms.

AB - Trajectory search plays an important role in various applications such as trip planning and recommendation. However, most existing studies only focus on spatial proximity but ignore individual users' preferences. For example, it is inappropriate to recommend a route containing gravel roads to travelers without off-road vehicles. To accommodate various user preferences, we develop MOIR/UOTS, a trip recommendation system that supports User Oriented Trajectory Search (UOTS) based on our previous MOIR platform. Meanwhile, MOIR/UOTS also functions as a test-bed system for exploring and evaluating novel trajectory searching algorithms. In particular, we demonstrate how ordinary users can interact with MOIR/UOTS to search for trajectories with their preferences, and how MOIR/UOTS helps researchers to evaluate the performance of various algorithms.

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KW - User Oriented Trajectory Search

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ER -

MOIR/uots: Trip recommendation with user oriented trajectory search

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