文章基本信息

标题：An Adaptive Approach for Real Time Advertising System based on User Location and Interests
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作者：Mohammed A. Abuhelaleh ; Ayman Al Dmour ; Tahir Aletewi 等
期刊名称：Journal of Software Engineering
印刷版ISSN：1819-4311
电子版ISSN：2152-0941
出版年度：2017
卷号：11
期号：2
页码：160-171
DOI：10.3923/jse.2017.160.171
出版社：Academic Journals Inc., USA
摘要：Background: Due to the wide spread of the smart phones around the world, a special demand occurs in the mobile marketing. Real time advertising is still challenging due to its hard requirements: Tracking of customer location, knowledge of customer interests, knowledge of advertisers data and the ability to efficiently provide the customer with available advertisers data securely. Materials and Methods: This study introduces a comprehensive work for designing, developing and evaluation of a mobile platform for real time advertising system. This system is built by adopting well-known algorithms for each requirement concerning real time advertising system. To investigate the performance of the developed system, several experiments are conducted using a simulation program built specially for this system to measure two main factors: The missing advertisements and the delay time. Results: The simulation results show that the performance of the proposed system is very promising and revealing the importance and possibility of developing adaptive real time advertising system based on customers location and interest. The proposed system considered as a promising and a stable media for advertisement according to the missing advertisements and the time required for the advertisement to be received by the customer. Conclusion: This study introduce a novel system, which is built to satisfy user interests for advertisements based on his location. The system built using three subsystems to ensure its ability to produce data in real time and to handle huge traffic of subscribers and advertiser. It has also the ability to integrate different systems into it to satisfy any future requirements.