Trajectory-driven Influential Billboard Placement

15 Sep 2018 Zhang Ping Bao Zhifeng Li Yuchen Li Guoliang Zhang Yipeng Peng Zhiyong

In this paper we propose and study the problem of trajectory-driven influential billboard placement: given a set of billboards $U$ (each with a location and a cost), a database of trajectories $\mathcal{T}$ and a budget $L$, find a set of billboards within the budget to influence the largest number of trajectories. One core challenge is to identify and reduce the overlap of the influence from different billboards to the same trajectories, while keeping the budget constraint into consideration... (read more)

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  • SOCIAL AND INFORMATION NETWORKS
  • DATABASES