Fog computing architecture-based Wi-Fi union mechanism for internet advertising system

An, Thi Thanh; Chang, Che-Pin; Li, Yi-Hung; Yuan, Shyan-Ming

doi:10.1109/icasi.2017.7988110

Cited by 1 publication

(1 citation statement)

References 11 publications

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“…These works are about how to select the locations for the roadside billboards by analyzing the data collected by different ways. In [17], T. T. An et al design an advertisement system by using Wi-Fi union mechanism in order to enhance the efficiency of advertisement. In [5], L. Wang et al design a model to quantify advertisement influence spread and propose a utility evaluation-based optimal searching approach so that the total expected advertisement influence spread could be maximized.…”

Section: Related Workmentioning

confidence: 99%

Reinforcement Learning Based Advertising Strategy Using Crowdsensing Vehicular Data

Lou

Yang

Wang

et al. 2021

IEEE Trans. Intell. Transport. Syst.

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The commercial profit depends on the number of attracted customers, hence the advertiser needs to adopt an effective advertising strategy to determine the advertisement switching policy for each digital billboard to attract as many potential customers as possible. Whether a customer could be attracted is influenced by numerous factors, such as the probability that the customer could see the billboard and the degree of his/her interests in the advertisement. Besides, cooperation and competition among all digital billboards will also affect the commercial profit. Taking the above factors into consideration, we formulate the dynamic advertising problem to maximize the commercial profit for the advertiser. To address the problem, we first extract potential customers' implicit information by using the vehicular data collected by Mobile CrowdSensing (MCS), such as their vehicular trajectories and their preferences. With this information, we then propose an advertising strategy based on multi-agent deep reinforcement learning. By using the proposed advertising strategy, the advertiser could determine the advertising policy for each digital billboard and maximize the commercial profit. Extensive experiments on three realworld datasets have been conducted to verify that our proposed advertising strategy could achieve the superior commercial profit compared with the state-of-the-art strategies.

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Section: Related Workmentioning

confidence: 99%