TY - GEN
T1 - Design and implementation of Taxi advertisement system
AU - Hsu, Yu Chia
AU - Wang, Chih Sheng
AU - Chou, Shih Fan
AU - Pang, Ai Chun
AU - Chiu, Pi Chen
AU - Chang, Shu Jye
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/2/18
Y1 - 2014/2/18
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84949925454&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84949925454&partnerID=8YFLogxK
U2 - 10.1109/ICEECS.2014.7045209
DO - 10.1109/ICEECS.2014.7045209
M3 - Conference contribution
AN - SCOPUS:84949925454
T3 - Proceedings of 2014 International Conference on Electrical Engineering and Computer Science, ICEECS 2014
SP - 1
EP - 6
BT - Proceedings of 2014 International Conference on Electrical Engineering and Computer Science, ICEECS 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 1st International Conference on Electrical Engineering and Computer Science, ICEECS 2014
Y2 - 24 November 2014 through 25 November 2014
ER -