A Method of Deep Reinforcement Learning for Simulation of Autonomous Vehicle Control

Huynh, Anh T.; Nguyen, Ba; Nguyen, Hong-Quang; Vu, Sang; Nguyen, Hien D.

doi:10.5220/0010478903720379

Cited by 5 publications

(1 citation statement)

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“…This system will be augmented to manage the more extensive campaigns with many users and a higher frequency of interactions for the duration of the campaigns. Some methods for increasing the attraction and influence of users will also be researched, such as using reinforcement learning methods [44] to improve the content creation of users. Those methods would escalate the usefulness of influencers in the marketing campaign.…”

Section: Discussionmentioning

confidence: 99%

ADVO: A System to Manage Influencer Marketing Campaigns on Social Networks

et al. 2021

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In the fourth technology revolution, influencer marketing is an essential kind of digital marketing. This marketing uses identified influencers to viral the information of products to target customers. It is useful to support brands exposed to more valuable online consumers. The influencer marketing campaign needs a management system to manage on a social network. This system helps to increase the efficiency of a campaign. This paper proposes a management system for the influencer marketing campaign, called the ADVO system. This system provides a tool for collecting data on a social network and detecting potential brand influencers for the marketing campaign. The meaningful measures for users include amplification factors for evaluating the information propagation, the passion point to measure a user’s favorite when it comes to a brand, and the content creation score for determining the ability of post-content creating. The ADVO system helps the brand to make the decision through real-time visual reports of the campaign. It is a foundation to create commercial activities and construct an advocate community of the related brand.

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Section: Discussionmentioning

confidence: 99%