Publication Type
Journal Article
Version
publishedVersion
Publication Date
8-2019
Abstract
In this paper, we demonstrate an Intelligent Trajectory-driven outdoor Advertising deployment Assistant (ITAA), which assists users to find an optimal strategy for outdoor advertising (ad) deployment. The challenge is how to measure the influence to the moving trajectories of ads, and how to optimize the placement of ads among billboards that maximize the influence has been proven NP-hard. Therefore, we develop a framework based on two trajectory-driven influence models. ITAA is built upon this framework with a user-friendly UI. It serves both ad companies and their customers. We enhance the interpretability to improve the user's understanding of the influence of ads. The interactive function of ITAA is made interpretable and easy to engage.
Discipline
Artificial Intelligence and Robotics
Research Areas
Intelligent Systems and Optimization
Areas of Excellence
Digital transformation
Publication
Proceedings of the VLDB Endowment
Volume
12
Issue
12
First Page
1790
Last Page
1793
ISSN
2150-8097
Identifier
10.14778/3352063.3352067
Publisher
VLDB Endowment
Citation
ZHANG, Yipeng; BAO, Zhifeng; MO, Songsong; LI, Yuchen; and ZHOU, Yanghao.
ITAA: An intelligent trajectory-driven outdoor advertising deployment assistant. (2019). Proceedings of the VLDB Endowment. 12, (12), 1790-1793.
Available at: https://ink.library.smu.edu.sg/sis_research/10185
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
http://doi.org/10.14778/3352063.3352067