• 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