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Direction-Based Spatial Skylines

机译:基于方向的空间天际线

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摘要

Traditional location-based services recommend nearest objects to the user by considering their spatial proximity. However, an object not only has its distance but also has its direction which originates from the user to it. In this paper, we study direction-based spatial skyline queries (DSS queries) which retrieve nearest objects around the user from different directions. The closer object is better than or dominates the further object if they are in the same direction. The objects that cannot be dominated by any other object are included in the direction-based spatial skyline (DSS). We propose algorithms to answer snapshot queries which find objects on the DSS according to the user's current position. We also develop algorithms to support continuous queries which retrieve objects on the DSS while the user is moving linearly. Extensive experiments verify the performance of our proposed algorithms using both real and synthetic datasets.
机译:传统的基于位置的服务通过考虑用户的空间接近性,向用户推荐最近的对象。然而,物体不仅具有其距离,而且具有其方向,该方向源自用户。在本文中,我们研究基于方向的空间天际线查询(DSS查询),该查询从不同方向检索用户周围的最近对象。如果在同一方向上,较近的对象要好于或主导其他对象。基于方向的空间天际线(DSS)中包含不能由任何其他对象控制的对象。我们提出了一种算法来回答快照查询,这些快照查询可以根据用户的当前位置在DSS上找到对象。我们还开发了支持连续查询的算法,这些查询可以在用户线性移动时在DSS上检索对象。大量实验使用真实和合成数据集验证了我们提出的算法的性能。

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