Centralized Regional-Based Decision Making and Management System for Effective Advertisement

In this paper, centralized regional-based decision making and management system is proposed for effective advertisement on billboards in the urban areas. The system will be used in the advertising industry and will analyze big data obtained through the social media (e. g., Twitter, Facebook, Instagram etc.) for decision making on corresponding advertisements. Nowadays, advertisements have been published and displayed on digital billboards randomly and most of those adverts don't address to the people who are shopping or travelling in the regional areas. This will cause several issues such as visual pollution, non-effective advertisement visualization, cost consumption etc. With the proposed approach, the data entered on the social media by the people in regional areas will be obtained for analyzing the requirements and desires of the community. Thus, advertisements will be chosen based on the social demand in specific regional areas and the selected advertisements addressing to the people will be displayed on the digital billboards. Based on the people’s demand in the urban areas, different advertisement may be published for each region. Also, duration and frequency of the advertisements on digital billboards may also be organized depending on the needs and behaviors of people in the public areas.

並列關鍵字

Advertisement Management ； Big Data ； Decision Making ； Text recognition

國際替代計量

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