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

Research output: Contribution to journal › Conference article › peer-review

14 Scopus citations

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
Article number	6569156
Pages (from-to)	335-337
Number of pages	3
Journal	Proceedings - IEEE International Conference on Mobile Data Management
Volume	1
DOIs	https://doi.org/10.1109/MDM.2013.49
State	Published - 2013
Externally published	Yes
Event	14th International Conference on Mobile Data Management, MDM 2013 - Milan, Italy Duration: 3 Jun 2013 → 6 Jun 2013

Keywords

Efficiency
Spatiotemporal Databases
Trajectories
User Oriented Trajectory Search

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10.1109/MDM.2013.49

Cite this

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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",

doi = "10.1109/MDM.2013.49",

language = "英语",

volume = "1",

pages = "335--337",

journal = "Proceedings - IEEE International Conference on Mobile Data Management",

issn = "1551-6245",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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

}

TY - JOUR

T1 - MOIR/uots

T2 - 14th International Conference on Mobile Data Management, MDM 2013

AU - Liu, Kuien

AU - Yang, Bin

AU - Shang, Shuo

AU - Li, Yaguang

AU - Ding, Zhiming

PY - 2013

Y1 - 2013

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.

KW - Efficiency

KW - Spatiotemporal Databases

KW - Trajectories

KW - User Oriented Trajectory Search

UR - https://www.scopus.com/pages/publications/84883535140

U2 - 10.1109/MDM.2013.49

DO - 10.1109/MDM.2013.49

M3 - 会议文章

AN - SCOPUS:84883535140

SN - 1551-6245

VL - 1

SP - 335

EP - 337

JO - Proceedings - IEEE International Conference on Mobile Data Management

JF - Proceedings - IEEE International Conference on Mobile Data Management

M1 - 6569156

Y2 - 3 June 2013 through 6 June 2013

ER -

MOIR/uots: Trip recommendation with user oriented trajectory search

Abstract

Keywords

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