MapReduce Algorithm for Location Recommendation by Using Area Skyline Query
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Location recommendation is essential for various map-based mobile applications. However, it is not easy to generate location-based recommendations with the changing contexts and locations of mobile users. Skyline operation is one of the most well-established techniques for location-based services. Our previous work proposed a new query method, called “area skyline query”, to select areas in a map. However, it is not efficient for large-scale data. In this paper, we propose a parallel algorithm for processing the area skyline using MapReduce. Intensive experiments on both synthetic and real data confirm that our proposed algorithm is sufficiently efficient for large-scale data.
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2020 ◽
Vol 140
(6)
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pp. 480-487
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2009 ◽
Vol 28
(11)
◽
pp. 2737-2740
2008 ◽
Vol 9
(10)
◽
pp. 1373-1381
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