DocumentCode :
3564146
Title :
Design and implementation of Taxi advertisement system
Author :
Yu-Chia Hsu ; Chih-Sheng Wang ; Shih-Fan Chou ; Ai-Chun Pang ; Pi-Chen Chiu ; Shu-Jye Chang
Author_Institution :
Comput. Sci. & Inf. Eng., Nat. Taiwan Univ., Taipei, Taiwan
fYear :
2014
Firstpage :
1
Lastpage :
6
Abstract :
Nowadays advertising is widely used to promote various products. Counting-based advertising system is a promising solution for operators to enhance system resource utilization with potential profit, which is the focus of this paper. On the system, each advertisement order comprises the display length, the contract period, and the expected play count. The objective is to fulfill the expected play count within the contract period for each advertisement. However, operators face the challenge of deciding whether they should admit new orders or not without the knowledge of total amount of available time. Therefore, we propose an efficient method based on support vector machine (SVM) to predict the available time of the system in the future. In addition, a scheduling mechanism is established in consideration of fairness among advertisements. We then conduct a series of simulations by using the real data provided by Taiwan Taxi Company to evaluate the performance of our proposed advertising system. The experiment results show that our proposed scheme can highly satisfy the needs for accepted advertisements in both prediction and scheduling phases.
Keywords :
advertising data processing; public transport; scheduling; support vector machines; SVM; Taiwan Taxi Company; advertisement fairness; advertisement order; contract period; counting-based advertising system; display length; play count; prediction phases; products promotion; profit; scheduling mechanism; scheduling phases; support vector machine; system resource utilization; taxi advertisement system; Advertising; Contracts; Data models; Prediction algorithms; Predictive models; Support vector machines; Vectors; advertisements scheduling; prediction model; support vector machine;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical Engineering and Computer Science (ICEECS), 2014 International Conference on
Print_ISBN :
978-1-4799-8477-0
Type :
conf
DOI :
10.1109/ICEECS.2014.7045209
Filename :
7045209
Link To Document :
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