ISCAS OpenIR
MOIR/UOTS: Trip Recommendation with User Oriented Trajectory Search
Liu, Kuien; Yang, Bin; Shang, Shuo; Li, Yaguang; Ding, Zhiming
2013
Conference NameIEEE 14th International Conference on Mobile Data Management (MDM)
Pages335-337
Conference DateJUN 03-06, 2013
Conference PlaceMilan, ITALY
Indexed TypeCPCI
Publish PlaceIEEE COMPUTER SOC
ISBN978-1-4673-6068-5
Department[Liu, Kuien; Li, Yaguang; Ding, Zhiming] Chinese Acad Sci, Inst Software, Beijing 100864, Peoples R China.
English AbstractTrajectory 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) [5], [7] based on our previous MOIR platform [2], [4]. 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.; 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) [5], [7] based on our previous MOIR platform [2], [4]. 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.
Language英语
Content Type会议论文
URIhttp://ir.iscas.ac.cn/handle/311060/16538
Collection中国科学院软件研究所
Recommended Citation
GB/T 7714
Liu, Kuien,Yang, Bin,Shang, Shuo,et al. MOIR/UOTS: Trip Recommendation with User Oriented Trajectory Search[C]. IEEE COMPUTER SOC,2013:335-337.
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