图 书 馆
轨迹驱动的影响广告牌放置Trajectory-driven Influential Billboard Placement |
|
| 课程网址: | http://videolectures.net/kdd2018_zhang_billboard_placement/ |
| 主讲教师: | Ping Zhang |
| 开课单位: | 武汉大学（WHU） |
| 开课时间: | 2018-11-23 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | In this paper we propose and study the problem of trajectory-driven influential billboard placement: given a set of billboards $ur$ (each with a location and a cost), a database of trajectories $td$ and a budget $budget$, 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. We show that this problem is NP-hard and present an enumeration based algorithm with $(1-1/e)$ approximation ratio. However, the enumeration should be very costly when $|ur|$ is large. By exploiting the locality property of billboards’ influence, we propose a partition-based framework psel. psel partitions $ur$ into a set of small clusters, computes the locally influential billboards for each cluster, and merges them to generate the global solution. Since the local solutions can be obtained much more efficient than the global one, psel should reduce the computation cost greatly; meanwhile it achieves a non-trivial approximation ratio guarantee. Then we propose a bbsel method to further prune billboards with low marginal influence, while achieving the same approximation ratio as psel. Experiments on real datasets verify the efficiency and effectiveness of our methods. |
| 关 键 词: | 相同的近似比率; 有影响力的广告牌放置问题; 真实数据集; 生成全局解决方案 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2023-03-08：cyh |
| 最后编审: | 2023-03-08：cyh |
| 阅读次数: | 23 |