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We study a novel problem of influence maximization in trajectory databases that is very useful in precise locationaware advertising. It finds k best trajectories to be attached with a given advertisement and maximizes the expected influence among a large group of audience. We show that the problem is NP-hard and propose both exact and approximate solutions to find the best set of trajectories. We...
In this paper, we study a novel problem of influence maximization in trajectory databases that is very useful in precise location-aware advertising. It finds $k$<alternatives> <inline-graphic xlink:href="zhang-ieq1-2621038.gif"/></alternatives> best trajectories to be attached with a given advertisement and maximizes the expected influence among a large group of audience...
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