What question did this study set out to answer?

The research aims to explore the implementation and effectiveness of an AI-driven advertising system utilizing NLP algorithms for improved ad targeting.

December 30, 2023International Journal of Computer Science and Information TechnologyOpen Access

The implementation of an AI-driven advertising push system based on a NLP algorithm

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Authors

XQXin QiWuhan University of Technology YHYuhang HeXi'an Jiaotong University YPYiming PanChinese Academy of Medical Sciences & Peking Union Medical College

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Implication

Randomized trial examines an AI advertising system's effectiveness, suggesting improved user targeting.

Key Points

The research aims to explore the implementation and effectiveness of an AI-driven advertising system utilizing NLP algorithms for improved ad targeting.
Introduced text mining technology based on natural language processing.
Analyzed the push process of intelligent advertisements in daily life.
Examined implementation steps of the NLP algorithm model.
The AI advertising system significantly improved ad targeting based on user needs.
User experience with ads was enhanced through tailored advertising.
The efficiency of ad analysis and delivery was increased substantially.

Cite This Study

Qi et al. (2023) studied this question.

synapsesocial.com/papers/6a08fcdc5405cc787b9d0dd5 https://doi.org/10.62051/ijcsit.v1n1.05

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The implementation of an AI-driven advertising push system based on a NLP algorithm

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Member takes

Implication

Key Points

Cite This Study

The implementation of an AI-driven advertising push system based on a NLP algorithm

Discussion

Member takes

Implication

Key Points

Cite This Study

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